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We are seeking a Machine Learning Engineer to join the User Fraud R&D Studio at Spotify. Our mission is to protect Spotify from fake accounts and artificial streaming. You’ll work in a fast-moving team that experiments, iterates, and deploys innovative fraud prevention solutions. This includes analysing diverse user behaviours, uncovering patterns of abuse, and developing robust, scalable ML models that power real-time and batch decisions. If you're excited by adversarial modelling, anomaly detection, and building systems that defend one of the world's leading streaming platforms, we'd love to hear from you. • Contribute to designing, building, evaluating, shipping, and refining Spotify’s anti-fraud product by hands-on ML development, • Collaborate with a multi-functional team spanning data science, product management, and engineering to combat fraud, • Prototype new approaches and productionise solutions, • Help drive optimisation, testing, and tooling to improve quality, • Be part of an active group of machine learning practitioners in your mission and across Spotify, • Conduct analyses to gain insights on fraudulent behaviours and trends, • Be responsible for monitoring the quality and performance of the squad's ML models, • You have a strong background in machine learning, theory, and practice, • You are comfortable explaining the intuition and assumptions behind ML concepts, • You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languagesExperience with TensorFlow or Pytorch, • You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your modelsYou preferably have experience with cloud platforms like GCP or AWS, • You care about agile software processes, data development, reliability, and focused experimentation, • You focus on delivering the simplest solution that drives business impact, • This role is based in Stockholm, Sweden or London, United Kingdom, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

THE ROLE 📝 At Form3, our mission is simple but powerful: To design, build and run the technology that will power the future of payments. As a Senior Software Engineer, you will be part of a team working on the critical infrastructure that underpins global payments. This is a rare opportunity to help shape the systems that move money at scale both securely, reliably and in real time. WHAT YOU’LL BE DOING 🏗️ • Designing, building, and running cloud-native microservices in Go that are the backbone of our real-time payments platform, • Building systems that are highly available, low-latency, and scalable, handling billions of payment requests with precision and resilience, • Taking full ownership of services: from initial design and implementation to deployment and production support, • Working with a mindset where cost-efficiency, observability, and operational excellence are core to how we build, • Collaborating closely with other engineers in a flat, autonomous team structure, with a strong focus on code quality, simplicity, and continuous improvement, • Working with modern tooling and technologies such as Golang, Kubernetes, CockroachDB and NATS JetStream in a highly automated DevOps environment WE’RE LOOKING FOR 🔍 • Deep understanding of designing and building distributed systems, • Enjoys working on complex challenges within critical software where high performance and robustness are essential, • Familiarity with cloud and containerisation technologies, test automation tools and CI/CD pipelines, • Interest in owning projects end-to-end and supporting them as they go live in production, • Appreciation of clean code and software engineering best-practice, • Experience with Go, along with a “right tool for the job” mentality, • Great communication skills who enjoy sharing knowledge and collaborating with others TECH STACK ⚙️ Here are a few of the tools and methodologies we utilise: • Infrastructure: AWS, GCP, Azure, Kubernetes, • Platform: CockroachDB, NATS JetStream, Elasticsearch, Vault, Cilium, • Tools: Terraform, Flux, GitHub, Prometheus, Pact.io, Tilt, • Code: Go (and a little Java), containerised microservices, CQRS, open source, • Ways of working: TDD/BDD, Pair Programming, 100% remote, SecDevOps THE TEAM 👥 At Form3, our engineering team is the backbone of everything we do. A remote first group of highly skilled, collaborative, and forward-thinking individuals passionate about building secure, scalable, and reliable payment technology. We operate in a true DevOps model, where engineers take full ownership of the software lifecycle, from design and implementation to deployment and operation in production. We value clean code, automation, simplicity, and continuous improvement. Our engineers work in small, autonomous teams with a flat structure and minimal bureaucracy, promoting a culture of trust, transparency, and accountability. We use modern technologies (Golang, Kubernetes, AWS, and more) and embrace a cloud-native, event-driven architecture to support our microservices platform. Expect a culture of knowledge sharing, where pull requests are thoughtful conversations, and technical decisions are made collectively and with care. If you're motivated by solving complex problems at scale and enjoy working with other talented engineers who care deeply about doing things right, you'll feel right at home here. INTERVIEW PROCESS ✍️ Stage 1: Screening call with Talent Team Stage 2: Take home test Stage 3: Technical interview Stage 4: Team interview We always aim to stick to the above process, however there may be occasions when an additional interview stage is needed for us to be sure we find the best fit for the role! HIRING LOCATIONS 📍 We can accept applications from the following countries; Germany, Netherlands, Spain, Portugal & UK ABOUT FORM3 💭 Revolutionising the world of payments with our cutting-edge technology and innovative solutions. For more information about Form3, check out the following pages: | | | | _ OUR DEI&B COMMITMENT We hire talented people from a variety of backgrounds and experiences and are committed to a work environment based on diversity, open-mindedness and curiosity. We’re united by our company values (we even created them together!) and we celebrate our unique differences. Our employee lifecycle processes are designed to embrace equal opportunity and prevent discrimination against our people regardless of personal characteristics. It is our strong belief that the more inclusive and belonging we are as a business, the better our work will be. As an inclusive employer, we guarantee to interview all neurodiverse and physically disabled applicants who meet the minimum criteria for this role. We also encourage candidates to notify us of any reasonable adjustments that may be required during the recruitment process. This includes providing job adverts in alternative, accessible formats or adjustments required at interview stage. If you consider yourself to be neurodiverse or physically disabled under the UN definition of disability and would like to be considered under this scheme and/or require any reasonable adjustments please let us know by sending an email to clearly stating your consent for us to process this data. For more information please refer to our .

Senior Cloud Engineer (AWS) Outside IR35 Contract Location: Remote/ occasional travel to London Duration: Initial 3 month contract (likely extension) Rate: Competitive (DOE) We are currently looking for a Senior Cloud Engineer (AWS), available at short notice to join one of our well established global clients. What makes this an exciting opportunity for a contractor not only is this outside of IR35, this particular area of the business is at the beginning part of the journey to the cloud and are retiring the on prem workflow and re-platforming to the cloud. This is a high profile challenge with in the organization and is a highly rewarding opportunity that us being built from the ground up with end to end visibility. We are seeking an experienced Senior Cloud Engineer who is a subject matter expert in AWS, with some experience/broadcast background and though this is Engineer role where you will be expected to be hands on we are looking those individuals with architecture capabilities. Responsibilities of the Senior Cloud Engineer (AWS): Design, implement, and maintain audio broadcast cloud infrastructure in AWS, focusing on scalability, reliability, and CI/CD automation. • Collaborate with cross-functional teams to define cloud architecture, optimize workflows, and ensure governance alignment., • Apply expert knowledge of AWS, containerized environments (e.g. Docker), and IaC tools like Terraform and Ansible for infrastructure performance and cost efficiency., • Implement best practices in DevOps and DevSecOps, including observability, security, networking, API integration, and disaster recovery., • Mentor junior engineers and contribute technical leadership, ideally with experience in broadcast workflows, audio/video streaming, and Agile methodologies. Key Requirements: Extensive proven experience of AWS Cloud and knowledge of other cloud platforms such as Azure and GCP. • Proven experience in a containerized environments (docker etc.. ) and associated tooling such as Gitlab etc., • Proven experience in coding with a programming/scripting language (e.g. Java, Golang , Python, Bash)., • Background in Broadcasting/Media/Radio or Video is essential. Extensive proven experience of AWS Cloud and knowledge of other cloud platforms such as Azure and GCP Interviews are being arranged for across this week so If this sounds like you and is of interest then to get in touch right away by sending your CV and one of our team will be in touch with you should to discuss further should your application be considered.

Join the team redefining how the world experiences design. Servus, hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha! At Canva, our mission is to empower the world to design. We’re building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen—reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers—curating task distributions that surface real failure modes. Develop tooling for dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements—you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: • Equity packages - we want our success to be yours too, • Inclusive parental leave policy that supports all parents & carers, • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more, • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out _ for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.

Description Role Title: Senior Cloud Engineer (OpenStack Platform) Location: Remote, UK About Brightsolid Brightsolid is a leading provider of hybrid cloud and managed services, delivering secure, sovereign, AI-ready infrastructure platforms across the UK. Our next-generation cloud platform is built on an open, extensible architecture using Canonical’s OpenStack, enabling scalable, resilient, and multi-tenant cloud services for modern workloads including virtual machines, containers, bare metal and AI platforms. Role Overview The Senior Cloud Engineer is a senior technical role within the Cloud Engineering function, responsible for the design, implementation, and ongoing operation of Brightsolid’s large-scale OpenStack-based cloud platforms and associated storage systems. You will act as a technical leader within the team, ensuring that platforms are architected correctly for multi-tenant environments while supporting the ongoing evolution of the Brightsolid Cloud platform. This role represents a shift from traditional public cloud and VMware-based platforms towards open-source technologies, with a strong focus on OpenStack, Canonical tooling, and large-scale infrastructure engineering. Key Responsibilities • Technical Leadership, • Provide hands-on technical leadership across OpenStack-based cloud platforms, acting as a subject matter expert in cloud infrastructure and distributed systems., • Support the development of engineering standards, patterns, and reusable designs, while mentoring other engineers within the team., • Ensure solutions are designed to meet both customer and business requirements in multi-tenant environments., • Platform Engineering, • Design, implement, and manage Brightsolid’s OpenStack cloud platform, including compute, storage, and networking components., • Work across the full lifecycle of the platform, including build, deployment, optimisation, and scaling of services., • Ensure the platform remains highly available, resilient, and capable of supporting diverse workloads., • Storage and Data Platforms, • Design and support large-scale storage platforms underpinning the cloud environment, including high-performance and enterprise storage solutions., • Contribute to the architecture and operation of block, object, and distributed storage services, ensuring performance, durability, and scalability requirements are met., • Automation and Infrastructure as Code, • Drive the adoption of infrastructure-as-code and automation practices across the cloud platform., • Develop and maintain deployment tooling, orchestration templates, and automation pipelines to ensure consistent and repeatable platform delivery., • Support a continuous delivery approach for infrastructure services., • Operations and Service Reliability, • Support the ongoing operation of the Brightsolid cloud platform, including monitoring, troubleshooting, and resolution of complex issues., • Ensure platform compliance, patching, and lifecycle management activities are performed in line with operational standards., • Contribute to a high-availability, 24x7 service environment., • Technology Strategy and Innovation, • Contribute to the evolution of Brightsolid’s cloud platform, working closely with Cloud Engineering leadership and Product Management to enhance capabilities and introduce new technologies., • Support the ongoing transition to open-source platforms and ensure alignment with long-term strategic goals., • Collaboration and Stakeholder Engagement, • Work closely with Network Engineering, Security Operations, Product Management, and Customer Success teams to deliver integrated cloud services., • Engage with external partners including Canonical to support platform development, deployment, and optimisation. Requirements Key Skills and Experience Essential • Strong experience in a senior cloud engineering or infrastructure engineering role., • Demonstrated experience designing and operating large-scale cloud platforms or distributed systems., • Proven expertise in Linux-based systems and infrastructure. Strong understanding of infrastructure-as-code and automation principles., • Experience working in a managed service or service provider environment delivering high availability solutions. Desirable • Experience with OpenStack and associated technologies including compute, networking, and orchestration services., • Experience with distributed storage platforms and data services., • Familiarity with Canonical tooling and cloud deployment models., • Experience with automation frameworks such as Ansible, Terraform, or equivalent tooling. Experience supporting multi-tenant environments and large-scale infrastructure platforms. Behaviours and Attributes • Strong technical leadership with the ability to influence design and engineering decisions., • Collaborative approach with the ability to work across multiple technical domains., • Customer-focused mindset with a strong emphasis on service quality and reliability., • Ability to operate both strategically and at a detailed technical level., • Continuous improvement mindset aligned to modern engineering practices. This role is central to delivering Brightsolid’s next-generation cloud platform, focused on open-source technologies, platform sovereignty, and enabling customers to run modern, scalable workloads on a secure and high-performance infrastructure foundation. To apply for this role, please follow our online application process and submit a CV and cover letter. Closing date for applications: 29th July at 12:00noon Benefits

Are you a Senior Software Engineer with experience in C# or java? Are you looking for an opportunity to be a technology disruptor / change maker in your role? Do you want a remote-first role at a company that lets you be in control of your own time? We've been exclusively retained by our client, a well loved household name, known for the award winning delivery in the B2C space, to help them with their search for a Senior Software Engineer. You will be working on their core technology, which links the every day user experience to back end B2B suppliers. This is mission critical software for this business. At the crux of the successful applicant is a Senior Software Engineer who sees a programming language as a tool to address a challenge, rather than being hung up on the tooling itself. You'll have the ability to work with your peers to choose the best tool for the job, so if it's better to run with Go or Rust over what's in place already, with the buy-in of the tech leadership you'll have their full support to implement. Essential skills for the role:- • Minimum 6 years' experience working as a senior software engineer with C#. We'd also be interesting in speaking with java engineers who would be comfortable making the switch to C#., • Minimum 6 years' experience working with cloud technology, ideally AWS, though other cloud techs are also of interest, • Comfortable developing APIs / RESTful, • Full ownership of your code, we're looking for this across the SDLC from TDD, through to CI/CD pipeline implementation and monitoring, • The ability to build systems that scale! This client is anticipating 3x growth, the platform already supports billions of transactions a day. We're also looking for emerging leadership qualities, as evidenced in your ability to coach and mentor those around you. Benefits This is a hybrid role which will require your in-office attendance 2-3 days a month. The client is open to applicants living anywhere in the UK, but not overseas. You'll also get: • 25 days holiday plus your birthday off, • Generous company discounts (we can't tell you what these are in an ad, but they're a crowd-pleasing perk, to say the least), • Flexible working hours (with core team hours of 10am - 4pm), • Enhanced maternity, paternity, shared parental leave and adoption pay, plus other family friendly support, • Employee Assistance Programme and free access to counselling, • Health Plan, • Company Sick Pay scheme, • Regular wellbeing events, • Gym discount, • Share Incentive Plan (SIP), • Death in Service cover, • Onsite subsidised coffee shop and onsite bar, • Cycle to Work scheme, • And more! If you are into developing resilient, high volume trading systems, that integrate seamlessly into RESTful endpoints with an underlying design built to scale we'd love to hear from you. Interested candidates are encouraged to apply. Promising applicants can be assured of a response within 24 hours, to include full details of the role and the excellent benefits package on offer. TheDifferenceEngine is a recruitment agency working exclusively in support of our client.

About Us: DOHE is a global EdTech championing group headquartered in Singapore, with a branch in the United Kingdom.We are on a mission to transform education by leveraging technology responsibly to enhance educational quality and foster meaningful societal progress. We are building EdTech Hub, a global ecosystem designed to empower startups, foster collaboration, and strengthen innovation across the education sector worldwide.Through our Go-Together Accelerator Programme, we support EdTech founders in turning their vision into reality through tailored coaching and strategic support. Guided by our proprietary Navigator methodology, we create structured and efficient pathways to success for education innovators. Over the next decade, our ambition is to accelerate more than 5,000 EdTech startups globally Find out more _ EdTech Hub IT Team The EdTech Hub IT Team powers the digital foundation of our ecosystem. We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly. From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future-ready technology. By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth — while we take care of the technology that drives it. We are building a high-impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role. Establish the design system on a modern framework and build the entire frontend for five portals plus EdTech Hub. Implement role-based access control and create interactive UIs that surface AI-generated reports and matching results. · Build all 5 portals and EdTech Hub frontend from scratch · Establish a shared component library and Design System · Implement role-based access control and authentication integration · Develop complex workflow UIs — multi-step approval, coaching sessions, diagnosis questionnaires · Build AI integration screens — report viewer, expert matching, recording uploads · Create monitoring dashboards, cohort tracking, and analytics views About Us DOHE는 싱가포르에 본사를 두고 영국에 지사를 운영하는 글로벌 EdTech Championing Group으로, 에듀테크 스타트업이 사회적 가치를 만들고 글로벌로 성장할 수 있도록 에코시스템 (EdTech Hub) 구축 , 글로벌 액셀러레이션 프로그램 (Go-Together) , 데이터 기반 Methodology(Naviagator)를 제공하는 에드테크 전문 그룹입니다. 현재 EdTech Hub, Go-Together 등 내부 핵심 업무 시스템을 고도화하며 글로벌 팀과 함께 일할 시스템 엔지니어를 찾고 있습니다. EdTech Hub IT Team EdTech Hub는 전 세계 에듀테크 스타트업 커뮤니티를 지원하고, 교육 혁신 생태계 전반의 협력을 강화하기 위해 설계된 글로벌 플랫폼입니다. DOHE Global은 현재 전 세계 스타트업의 성장을 지원하는 통합 EdTech Hub 플랫폼을 처음부터 새롭게 구축하고 있습니다. 우리는 이 혁신적인 여정을 함께할 9개의 핵심 포지션에 합류할 전문 인재를 찾고 있습니다. 모던 프레임워크를 기반으로 디자인 시스템을 수립하고, 5개 포털과 EdTech Hub 전체 프론트엔드를 구축합니다. 역할별 접근 제어를 구현하고, AI 백엔드가 생성한 리포트와 매칭 결과를 사용자에게 전달하는 인터랙티브 UI를 만듭니다. · 5개 포털 및 EdTech Hub 프론트엔드를 신규 개발합니다 · 공통 컴포넌트 라이브러리와 Design System을 구축합니다 · 역할별 접근 제어와 인증 연동을 구현합니다 · 다단계 승인, 코칭 세션, 진단 설문 등 복잡한 워크플로우 UI를 개발합니다 · AI 리포트 뷰어, Expert 매칭 결과, 녹취 업로드 등 AI 연동 화면을 구현합니다 · 모니터링 대시보드, 코호트 추적, Analytics 화면을 개발합니다 · · Senior frontend engineer · Significant relevant experience of building large-scale services with React / Next.js · Hands-on TypeScript experiences · State management and REST API / GraphQL integration experience · Responsive web and cross-browser experience · Business-level English fluency required — daily collaboration with a global team · Design systems purist. You obsess over component consistency and reusability, and build systems hand-in-hand with designers. · Complexity simplifier. You have a talent for turning multi-step processes into UIs users navigate without friction. · Ecosystem explorer. You actively explore the evolving frontend landscape and experiment with new approaches. · Multi-persona empath. You understand the context of five distinct user groups and design the right experience for each. Language TypeScript Framework Next.js 14+ (App Router) UI React · shadcn/ui · Tailwind CSS · Radix UI State Zustand · TanStack Query Testing Vitest · Playwright Deploy Vercel · Netlify Tooling Figma · GitHub · Cursor 시니어 프론트엔드 엔지니어 · React / Next.js 기반 대규모 서비스 개발 4년 이상 · TypeScript 실무 경험 · 상태 관리와 REST API / GraphQL 연동 경험 · 반응형 웹과 크로스 브라우저 대응 경험 · 비즈니스 수준의 영어 커뮤니케이션 능력 필수 — 글로벌 팀과의 일상적 협업 · 디자인 시스템에 진심인 분. 컴포넌트의 일관성과 재사용성에 집착하고, 디자이너와 긴밀하게 시스템을 함께 만들어가는 분입니다. · 복잡함을 단순하게 만드는 분. 다단계 프로세스를 사용자가 헤매지 않는 UI로 풀어내는 데 재능이 있는 분입니다. · 최신 생태계에 열려 있는 분. 프론트엔드 생태계의 변화를 적극 탐구하고, 새로운 접근법을 실험하는 분입니다. · 다섯 가지 사용자를 공감하는 분. 서로 다른 사용자 그룹 각각의 컨텍스트를 이해하고, 최적의 경험을 설계하는 분입니다. Language TypeScript Framework Next.js 14+ (App Router) UI React · shadcn/ui · Tailwind CSS · Radix UI State Zustand · TanStack Query Testing Vitest · Playwright Deploy Vercel · Netlify Tooling Figma · GitHub · Cursor Employment: • Working hours: Full-time 40 hours a week., • Location: Remote - South Korea based, • Contract: Fixed Term Contract

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! We are looking for a Principal Software Engineer (Docker Agents) to join Docker’s AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents—providing isolation, portability, and reproducibility. You’ll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker’s container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You’ll define the technical vision, lead architecture decisions, and partner with engineers and leaders across Docker to bring containerized agent capabilities into Docker’s developer experience. Technical Leadership & Architecture: Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment, orchestration, and lifecycle management Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers across local and cloud environments Evaluation & Testing: Define evaluation frameworks to measure agent quality, reliability, and production readiness; plus the deployment effectiveness of containerized runtimes Reliability & Operability: Establish standards for observability, performance, and operational excellence; lead critical production decision-making and incident learnings as needed Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Lead cross-functional technical discussions and influence architectural decisions across Docker’s AI initiatives (including sister teams and platform efforts) Mentorship & Enablement: Mentor senior engineers, raise the bar through design reviews, and accelerate team execution through clear technical direction and coaching 10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff/Principal level or equivalent scope) Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns System Architecture: Proven ability to design scalable, distributed systems in production environments Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration Cloud/Platform Depth: Experience building and operating platform services with strong foundations in observability, CI/CD, and security principles Operational Excellence: Experience operating and evolving high-availability production systems with a focus on reliability and performance Influence & Communication: Exceptional communication skills and ability to influence across technical and business domains AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) Integrate into our AI engineering team building containerized agent infrastructure Deep dive into cagent’s architecture, project roadmap, and the developer problems we’re solving Identify the highest-leverage architectural and execution risks/opportunities; align with stakeholders on priorities Contribute initial improvements to cagent and the containerized agent runtime foundations Lead significant platform features or architectural improvements to cagent and our containerized agent ecosystem Establish (or materially improve) technical standards for evaluation, reliability, and operability of agent systems Drive alignment across internal teams on APIs, integration points, and a cohesive developer experience Mentor engineers through design reviews and help accelerate onboarding and execution Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Shape the long-term technical vision and execution plan for Docker’s agent ecosystem (open-source and product surfaces) Establish repeatable engineering practices for quality, performance, and operational excellence in agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases and broader platform integrations Grow the team’s technical capabilities through mentorship, strategy, and pragmatic delivery Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

Attio is the CRM built for the AI era. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. We are seeking highly skilled and experienced Platform Product Engineers to join our Security, Infrastructure and Performance team. This is a crucial, dual-faceted role that combines high-level engineering strategy with hands-on operational excellence. The successful candidates will be responsible for building, operating, and continuously enhancing the internal technology platform, fundamentally treating this platform as a product with all development teams as its primary customers. The Platform Product Engineer role is centered around embodying and executing DevOps principles, specifically focusing on: Automation: Systematically removing manual toil from the software development lifecycle (SDLC) through the creation of robust tooling, CI/CD pipelines, and infrastructure-as-code (IaC). Collaboration: Fostering a tight, cooperative partnership with product development teams, gathering requirements, and delivering solutions that accelerate their productivity and time-to-market. Continuous Improvement: Instilling a culture of iterative enhancement for the platform's reliability, cost-efficiency, and developer experience. This mandate is underpinned by a rigorous Site Reliability Engineering (SRE) mindset. The successful candidates will be instrumental in defining and upholding Service Level Objectives (SLOs) and Service Level Indicators (SLIs), implementing effective monitoring and alerting strategies, and leading operational incident response processes. The core responsibility is to implement, maintain, and continuously improve the foundational platform infrastructure that powers all engineering services. This necessitates a relentless focus on ensuring high reliability, exceptional scalability, and optimal performance across the entire stack. Platform Infrastructure: Build and maintain platform infrastructure using declarative IaC tools (e.g., Terraform, Pulumi), ensuring all environments are reproducible, version-controlled, and auditable. Proactively manage the capacity of the infrastructure to consistently meet or exceed Service Level Objectives for latency, error rates, and availability. Incident Response and Post-Mortems: Act as first-line responders for critical system incidents. Triage, diagnose, and resolve complex production issues rapidly. Drive a culture of blameless post-mortems, ensuring root causes are identified, and long-term preventative measures are implemented as code (e.g., via runbooks, automation, or system design changes). Tooling & Automation: Own the stack of supporting tools necessary for operational excellence and developer enablement, including: Continuous Integration and Continuous Delivery (CI/CD) Pipelines: Implement, maintain, and evolve the fully automated CI and CD pipelines. This includes establishing best practices for fast, reliable, and secure build, test, and deployment processes. Observability: Implement and manage robust systems for monitoring (metrics), logging (centralised log aggregation), and distributed tracing to provide deep insights into application and infrastructure health. Applied DevOps and SRE Principles: Must have : Demonstrable, hands-on experience applying core DevOps and Site Reliability Engineering (SRE) principles to manage, monitor, and scale production systems. Must have: A deep understanding of the SRE mindset, including SLO/SLA creation and monitoring, error budget management, toil reduction, and post-incident review (blameless postmortems). Desirable: Proven ability to drive cultural and process change that fosters a collaborative approach between development and operations teams. Cloud Infrastructure and Containerisation Expertise: Must have: Expertise in one or more major public cloud providers (AWS, GCP, or Azure), encompassing network configuration, security best practices (IAM, security groups, etc.), compute services (EC2, GKE, ECS, etc.), and managed services (databases, queues, serverless functions). Must have: In-depth knowledge of container technologies, specifically Docker, and extensive experience orchestrating them at scale using Kubernetes (K8s). This includes designing, deploying, and managing Kubernetes clusters, understanding networking (CNI), storage (CSI), and security configurations within the Kubernetes ecosystem. Automation and Programming Skills: Must have: Proficiency in one or more modern software languages (e.g., Typescript, Go, Python, Rust) and associated frameworks used for building high-performance, resilient production systems. Must have: Proven experience developing robust, maintainable, and well-tested automation scripts, services and pipelines to manage infrastructure, deployments, and operational tasks. Operational Tooling and Observability Management: Must have: Experience owning, managing, and maintaining mission-critical operational tooling. Desirable: Proven background in implementing and managing centralised logging solutions or similar platforms (e.g., Splunk, DataDog). Desirable: Familiarity with distributed tracing tools (e.g., Jaeger, Zipkin) and Application Performance Monitoring (APM) solutions. Competitive salary of £95,000 to £125,000 Equity in an early-stage tech company on an incredible trajectory 25 days holiday plus local public holidays Apple hardware Private medical insurance through AXA Pension contribution through Hargreaves Lansdown Enhanced family leave Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

🌏 Located remotely (must live in UTC-5 to UTC+2 time zones to apply) 💸 Salary £110,000 👯 Working in the Engineering team Want to ditch the commute, keep meetings to a minimum, and join a team of talented, experienced, and friendly folks? Do you do your best work when you have the freedom to work flexibly and the autonomy to make your own decisions and try new things? We are a profitable, independent company with a fully remote team working asynchronously across Europe, Canada, and South America. We’re building high-quality products for our users in the last-mile delivery space and working on solving complex, real-world problems for drivers, courier companies, retailers, and anyone who receives a delivery! If you’re an experienced Backend Staff Software Engineer who enjoys working closely with product, design, and engineering - and you like tackling complex backend architecture challenges - we think you’ll be right at home here. Just a few of the things we offer on top of salary: Fully remote Flexible working Equity options Annual company performance bonus 32 days of paid holiday Enhanced PTO for parental leave Annual company events and meet-ups We also make sure you have the tools, space, and support to do your best work: £3,200 every three years for a new laptop £500 a year towards new tech or your home office £1,000 a year for learning and development £1,000 a year for conferences £1,000 a year for wellbeing 💫 If you’d like more info about our benefits or to get a better feel for how we work day to day, you can find more in our and on our . As one of a team of three backend engineers, you’ll work across the systems that underpin our products, and focus on reliability, security, and keeping things running smoothly in production. In practice, that means building and improving backend services, supporting distributed systems, and making sure we have the right observability approach in place, from logging through to alerting, so issues are easier to spot and quicker to resolve. You’ll take the lead across multiple backend components, whether that’s shaping system design, digging into complex production behaviour, or driving longer-term improvements to workflows, deployments, and platform performance. As the stack evolves, you’ll be part of conversations about new backend and cloud technologies and deciding what’s worth adopting. A few things that are worth knowing up front: There are no daily stand-ups or lots of recurring ceremonies. On average, you’ll have one meeting a week, and the rest happens asynchronously. You won’t be handed a spec and asked to implement it without question. You’ll work closely with PMs and designers, ask the right questions early, and help shape the technical approach. It’s not a people management role. We don’t work in a traditional management structure, so leadership here comes through technical ownership, leading projects, and supporting the team as you go. And while we do like moving quickly, we don’t ship to hit an arbitrary deadline. The goal is to build things exceptionally well, stay pragmatic, and avoid creating future problems. Comfortable working with a high level of autonomy, while staying pragmatic, collaborative, and open to feedback Experience building and operating large-scale backend systems Experience designing and working with distributed systems, cloud-native architectures, infrastructure as code, and service reliability Experience with at least one modern backend language such as Go, TypeScript, Java, or Python Able to lead complex engineering initiatives and bring technical clarity to ambiguous problems A solid foundation in API design, data modelling, and scalable storage strategies Experience in diagnosing performance issues and supporting high-availability production systems Familiarity with CI/CD pipelines, automated testing, IaC, and modern deployment tooling Good technical judgement, and the ability to communicate decisions clearly and thoughtfully Programming Language: Node/Typescript Databases: PostgreSQL, Firestore Cloud Provider: Google Cloud Monitoring, Observability & Logging: Prometheus, Grafana, Honeycomb, Google Cloud Back in 2017, we saw an issue with last-mile delivery. Delivery drivers have a complicated and stressful job, and although delivery software existed, it neglected the driver experience. We set out to create the app that puts drivers first. We were astounded by the response we received. Drivers told us their job was far less stressful, and they got home earlier every day. Within our first year, we had almost 1,000 customers, $100k in ARR, and a team consisting of our two co-founders, Jack and Pol. Now, with a lean team of ~50 talented people, we’ve grown to $25M ARR, helping over 100,000 drivers deliver more than 1.4 billion packages worldwide—about 40 every second! Our hiring process for this role has four stages, which usually takes ~three weeks. At every step, you will have the opportunity to ask questions and make sure that we are the right choice for you. 1) Meet our recruiter You’ll have a video call with our TA Director, _, who will tell you more about Spoke and get to know you, too. 2) Meet the hiring manager You’ll have a video call with _, our Engineering Manager and the person this role reports to, to discuss your technical skills and experience in more detail. 3) Paid take-home project At this stage, we will invite you to take part in a paid take-home project that gives you a chance to showcase your skills and a flavor of the types of challenges you’ll be working on here at Spoke. 4) Final call You’ll have a 30-minute final video call with our Founder and CEO, _, an informal chat, and an opportunity to meet. 🌿 If you need us to make any adjustments to our interview process, or if I can make you more comfortable for our first call, please let me know. Sadie Remote£110,000 - £110,000 per yearEngineeringUK Your application has been successfully submitted! _

Location: Remote Salary: £70,000 - £80,000 At Arbor, we’re on a mission to transform the way schools work for the better. We believe in a future of work in schools where being challenged doesn’t mean being burnt out and overworked. Where data guides progress without overwhelming staff. And where everyone working in a school is reminded why they got into education every day. Our MIS and school management tools are already making a difference in over 7,000 schools and trusts. Giving time and power back to staff, turning data into clear, actionable insights, and supporting happier working days. At the heart of our brand is a recognition that the challenges schools face today aren’t just about efficiency, outputs and productivity - but about creating happier working lives for the people who drive education everyday: the staff. We want to make schools more joyful places to work, as well as learn. We are looking for an experienced and dynamic Senior DevOps Engineer to join our Engineering team and help us improve the resilience and performance of the Arbor platform, enabling the business to rapidly scale. The remit and focus of the role is to continuously fix and improve our architecture, infrastructure, and ways of working. This requires an obsessive, metrics-driven approach, a curiosity about system behaviour, and close collaboration with the solution architect and engineering teams. It’s a broad and exciting role, so we’re looking for someone up for a challenge - if you’re a collaborative and curious Engineer, this is the role for you. Core responsibilities • Work with Head of Platform and Head of SRE to identify improvements within the platform infrastructure and implement plans to address, • Work with the Platform teams to improve the maturity of all components within the system, including ensuring High Availability, and adequate testing and DR plans, • Contribute to improving our CI/CD pipelines and providing patterns of deployment, • Assist in incident response and resolution, and subsequent post-mortems and retrospectives, • Participate in tech-talks and team based learning to ensure knowledge is spread, • Document obsessively, relying on Playbooks/Runbooks and systems documentation to aid knowledge transfer, • Extensive experience of DevOps Engineering and operating a large scale platform, • Extensive experience of distributed cloud systems, and specifically Amazon Web Services, • Extensive experience of Infrastructure as Code tooling, such as Terraform, Ansible, Cloudformation etc, • Understanding of relational database technologies and their cloud versions (e.g. AWS Aurora), • Experience with messaging and distributed asynchronous workloads, • Experience with nginx or similar technologies, • Experience with DataDog, Prometheus or similar tools, • A positive and proactive attitude to problem solving, • A team player, willing to muck in and help others when needed, driven personality who asks questions and actively participates in discussions, • Good written and spoken English so you can present your ideas Bonus skills • Past experience with enterprise solutions running at scale, • Familiarity with kanban and agile development processes, • Experience with Docker and containerisation, • Familiarity with software best practices such as Refactoring, Clean Code, Domain-Driven Design, Test-Driven Development, etc. The chance to work alongside a team of hard-working, passionate people in a role where you’ll see the impact of your work everyday. We also offer: • A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more!, • 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas, • Life Assurance paid out at 3x annual salary, • Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks, • Private Dental Insurance with Bupa, • Salary sacrifice Pension provided by Scottish Widows, • Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay, • 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life!, • Access to services such as Calm and Bippit (financial wellbeing coaching), • All of our roles champion flexible working and we are happy to discuss what this means to you, • Social committees that plan team, office and company wide events to bring people together and celebrate success, • Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc), • Volunteer with a charity of your choice for a day each year, • Dog friendly offices!, • Phone screen, • 1st stage, • 2nd stage We are committed to a fair and comfortable recruitment process, so if you require any reasonable adjustments during your application or interview process, please reach out to a member of the team at _. Our commitment is also backed by our partnership with Neurodiversity Consultancy, Lexxic who provide us with training, support and advice. Our goal is for Arbor to be a workplace which represents, celebrates and supports people from all backgrounds, and which gives them the tools they need to thrive - whatever their ambitions may be so we support and promote diversity and equality, and actively encourage applications from people of all backgrounds. Know someone else who would be good for this role? You can refer a friend, family member or colleague, if they are offered a role with Arbor, we will say thank you with a voucher valued up to £200! Simply email: _ Please note: We are unable to provide visa sponsorship at this time.

We are open to hiring at multiple levels for this role, depending on experience, impact, and demonstrated ownership. While this role is level-agnostic, it is best suited for engineers with experience owning production systems and working in highly ambiguous problem spaces. Software Engineer About the company: The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. We are hiring Software Engineers to accelerate our mission. About The Role: At KoBold, software engineers have the unique opportunity to embed directly with their users and learn the ins and outs of mineral exploration and geology while developing state of the art technology solutions. Unlike traditional software engineering roles, we don’t simply ship code and passively wait for feedback about its utility: our userbase includes our colleagues… and ourselves! While there are real technical challenges in making mineral exploration data broadly searchable and accessible to both humans and machines, we believe that solving these technical challenges cannot be done without “getting our hands dirty” – sometimes literally! – by embedding directly with the exploration teams and even occasionally (~once a year) joining our colleagues in the field, be it in Zambia, Canada, or Arizona, to experience the impact of our software in real time. As a Software Engineer on the Data Systems Engineering team at KoBold, your main role will be to enable systematic exploration and materially improve exploration success rates by making mineral exploration data broadly accessible to humans and machines. Past projects have included SIP (the Structured Ingest Pipeline), DataKit generation (producing curated sets of data on demand), and RAG (Retrieval Augmentation Generation, utilizing natural language processing on unstructured data). Our tech stack is primarily python and includes Django, React, AWS, and additional technologies like Retool and Prefect. Your work will empower KoBold to unlock invaluable insights and streamline intricate scientific processes. Collaborating with our exceptional team of data scientists, geologists, and other software engineers, you will have the opportunity to tackle complex problems head-on and collectively pave the way for the discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world. This role be responsible for: • Deep engagement with exploration geologists and data scientists, continual learning about mineral exploration, and tailoring technology development to the needs of exploration project scientists, • Building data pipelines and tooling for deriving advanced human and machine insights from exploration data, often leading a small group of software engineers to successful delivery, • Developing expertise in KoBold’s Data Systems and deeply understanding how they impact exploration, • End-to-end ownership of projects from design to implementation and testing to continued engagement with colleagues on exploration teams using your solutions, • Responding well to design and code feedback, also providing feedback to teammates, • Operationally managing the team’s services and assisting scientific colleagues with our tooling Qualifications • 4+ years of software engineering experience, ideally building production cloud data systems, • Proficiency with Python, • Ability to write production-quality code that is correct, readable, well-tested, scalable and extensible, • Skilled in large-scale system design, • A track record of taking ownership from definition of the problem and delivering projects with demonstrated impact in an iterative manner, • Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field., • Ability to explain technical problems to and collaborate on solutions with domain experts who are not software developers. A strong communicator who enjoys working with colleagues across the company., • Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities., • Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. Nice to Haves • Experience with modern frontend frameworks such as React, • Experience with geospatial data and building map-based experiences, • Familiarity with containerization and container orchestration platforms, such as Docker, AWS ECS, Kubernetes, etc., • Formal education or job exposure to natural sciences The UK base salary range for this full-time exempt position is $120,000 - $210,000 USD. Location: Remote, Candidates can be located anywhere in the United Kingdom. _

What are we building? Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We’re building a team that resonates passion for learning, operating and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically. Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space — ready to join us? What’s the position? This is an exciting opportunity to join our rapidly growing technology team, responsible for continuous growth and support of an unrivalled betting experience for millions of sports fans everywhere. We’re looking for a Principal Mobile Engineer who will bring their creativity and experience to Hard Rock Bet to help us build software with a spark of magic. This is a role that works closely with Product Management, Design, QA, and Backend Engineering to deliver a full-featured mobile app. The candidate should have a strong track record developing React Native apps, as well as experience with iOS and/or Android apps, preferably with a background in sportsbook, gaming, or a related industry. Your responsibilities will include: Lead the Frontend technical direction of the Casino Technology unit, owning architectural decisions within the domain while ensuring alignment with the broader mobile platform. Partner with peer Principal Engineers in Core and Sportsbook units and the Technical Director for Mobile to define, evolve, and uphold shared engineering standards, patterns, and conventions. Own the architecture and evolution of Casino-domain features within a high-performance React Native application for iOS and Android, serving tens of thousands of daily users across multiple product variants and regulatory jurisdictions. Develop & improve a high-performance mobile application in React Native for iOS and Android, serving tens of thousands of daily users. Drive multi-quarter technical initiatives — legacy system migration, platform modernization, design system adoption, and build infrastructure improvements — collaborating across units to coordinate execution. Mentor and develop senior and staff engineers through architectural guidance, code review culture, and hands-on pairing on complex problems. Partner with Product Management, Design, QA, and Backend Engineering to shape roadmaps, inform feasibility, and make build-vs-buy-vs-migrate decisions for the Casino domain. Evaluate and integrate AI-assisted development tools and workflows to improve team productivity, code quality, and developer experience. Navigate the challenges of working in a highly regulated industry, ensuring compliance and stability while minimizing the architectural cost of jurisdiction-specific requirements. Serve as the escalation point for complex technical problems within the Casino unit — leading troubleshooting efforts, identifying root causes quickly, and turning incidents into systemic improvements. Champion comprehensive observability — analytics, error reporting, and performance monitoring — and use data to drive architectural and product decisions. Contribute to cross-unit technical forums, representing Casino engineering priorities and collaborating on platform-wide decisions. Employ state-of-the-art technologies and strategies to optimize content delivery, application performance, and developer productivity. Cultivate a positive engineering culture that values quality, pragmatism, and continuous improvement. What are we looking for? We are looking for a technical leader who raises the engineering bar within their unit — someone who identifies systemic problems before they escalate, makes sound architectural decisions, and multiplies the output of the engineers around them. The ideal candidate isn't just interested in what we're building right now, but wants to understand where we're going and partners with peer Principals and the Technical Director for Mobile to shape the technical strategy that gets us there — all in service of delivering the best customer experience. The ideal candidate will have: 10+ years of experience in developing mobile applications (native and hybrid), with at least 7 years focused on React Native. Bachelor's degree in Computer Science or a related field; or equivalent demonstrated experience. Deep expertise in React Native application architecture using TypeScript in strict mode, with a track record of defining patterns and conventions adopted across engineering teams. Mastery of dual state management strategies — client state (MobX) and server state (TanStack React Query) — including the judgment to enforce clear boundaries between them at scale. Comfortable working with AI-assisted development tools (e.g., Claude Code, Cursor, Codex) and interested in shaping how the team leverages them — not just as a user, but in defining conventions, guardrails, and workflows that scale. Proven experience designing real-time mobile systems using RESTful services, WebSockets, and GraphQL, with an emphasis on resilience, latency, and graceful degradation. Significant native iOS (Swift/Objective-C) and/or Android (Kotlin/Java) experience, particularly in authoring and maintaining native module bridges and managing cross-boundary data flow. Prior experience in the igaming, sportsbook, or online gaming industry, with a strong understanding of the regulatory, compliance, and geolocation constraints that shape product and architecture decisions. Experience architecting multi-variant mobile applications — managing divergent product configurations, jurisdiction-specific logic, and feature flag–driven rollouts (e.g., LaunchDarkly) within a single codebase. Ownership of cross-cutting technical initiatives such as design system creation, legacy codebase migration strategies, developer tooling, or CI/CD pipeline optimization for App Store and Play Store delivery. Comprehensive knowledge of the mobile development lifecycle — application architecture, OS-level APIs, debugging, performance profiling, security hardening, and deployment — with the ability to set org-wide standards in each area. Demonstrated ability to identify, scope, and drive multi-quarter architectural improvements — balancing long-term technical vision against near-term product delivery. A track record of mentoring senior and staff engineers, elevating team capabilities through code review culture, technical documentation, and architectural guidance. Strong cross-functional influence — able to partner with Product, Design, QA, and Backend Engineering leadership to shape roadmaps and make build-vs-buy-vs-migrate decisions. Contagious and positive work ethic that raises the bar for engineering quality across the organization, not just the immediate team. What’s in it for you? We offer our employees more than just competitive compensation. Our team benefits include: Competitive pay and benefits Flexible vacation allowance Flexible work from home or office hours Startup culture backed by a secure, global brand Opportunity to build products enjoyed by millions as part of a passionate team Roster of Uniques We care deeply about every interaction our customers have with us, and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunities employer) Your application has been successfully submitted! _

Who We Are Having surpassed $300M ARR and continuing to grow, Optro is the leading audit, risk, ESG, and InfoSec platform on the market. More than 50% of the Fortune 500, including 7 of the Fortune 10, leverage our award-winning technology to move their businesses forward with greater clarity and agility. And our customers love us: Optro is top-rated on _ and Gartner Peer Insights. At Optro, we inspire each other to innovate and are proud of what we are producing. We spend each day thinking of new ways to help our customers and contribute to the greater good of our company and our surrounding communities. We are all about assisting each other and breaking through barriers to create the most loved audit, risk, ESG, and InfoSec platform by our customers. This is how we have become one of the 500 fastest-growing tech companies in North America for the seventh year in a row, as ranked by Deloitte! Why This Role is Exciting Optro has a stateless containerized application architecture built on Kubernetes, hosted on multiple cloud platforms and regions, and maintained with our custom automation infrastructure software. Optro is looking for a Senior Software Engineer II specialized in Infrastructure Engineering who has industry experience scaling reliable and secure cloud infrastructure at a global scale. You'll bring end-to-end experience building, designing, and supporting a cloud-based infrastructure stack, and you're comfortable driving infrastructure projects from concept through to production as an individual contributor - taking requirements from QA, Engineering, Technical Support, and others, writing clear design documentation, and producing secure, scalable, robust implementations. You love to collaborate but can also work independently, and you're energized by mentoring fellow engineers and helping shape architecture decisions on the team. Key Responsibilities Architect and implement new cloud infrastructure to enable high-performance SaaS applications globally in the cloud. Drive infrastructure features end-to-end, from design documentation through implementation, rollout, and operational ownership. Build and deliver observability tools and analyze data, working with the application development team to ensure a consistently superb customer experience. Continue to grow automation for infrastructure provisioning, developer efficiency, and internal tooling efficiency. Apply AI-assisted development tools to accelerate IaC, automation, code review, and on-call workflows, while maintaining a high bar for security, correctness, and review discipline. Mentor fellow engineers and contribute to team-wide architecture decisions. Assist our customer support and sales teams with technical issues regarding the Optro application. Maintain reliability for our production systems to exceed our SLA requirements, including participation in an on-call rotation for production issues. Help define internal Service Level Objectives and Service Level Indicators for the Infrastructure Engineering team to drive better reliability. Collaborate with engineers, designers, and product managers; give and receive feedback well in a dynamic environment. Attributes for a Successful Candidate 5+ years of software development experience, with a track record of taking projects from concept to production Strong software development background with strong expertise in at least one programming language (Go, Python, TypeScript, or similar) Experience with Docker and running container orchestration systems (Kubernetes preferred) Experience working with cloud services providers (AWS or Azure preferred) Experience with Infrastructure as Code and other cloud automation tools (HashiCorp suite) Experience building observability tooling, dashboards, and alerting for monitoring distributed systems Experience designing globally distributed systems in a cloud-based, container-based world Comfort writing clear design documentation and influencing architecture decisions Fluency with AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) and good judgment about when and how to apply them Bonus: open-source contributions or prior experience defining SLOs/SLIs for production services *perks may vary based on eligibility/location Our Company Values Customer obsession: It starts and ends here. Consistently ask yourself how what you’re doing creates value for our customers. It’s a mindset. Gritty resilience: Make it happen. Find a way. Move fast, stay positive, and do what it takes. Drive innovation: Create the future. Continuously improve what exists and invent what’s next. Win, together: One team. No silos, no egos. Drive to be the best and support each other’s success. Growth mindset: 10x, not 10%. Think in orders of magnitude, not increments. Seek feedback, learn, and improve. Please note that background checks are required. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. This role may have access to highly sensitive data, including employee data, customer data, company financials, and proprietary product information. We love building strong partnerships, but please note that Optro cannot accept unsolicited resumes from agencies. Any submissions without a signed agreement in place will not create a fee obligation. #LI-Remote

Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; _ Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. YYou will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third-party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co-owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real-time data capabilities as the business matures beyond batch processing Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem-solving to structured, agile delivery. Oversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company-wide goal of 80% self-serve analytics. 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low-maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing. Experience in marketplace, B2C, or high-volume transactional businesses. Previous work in globally distributed data environments (multi-currency, multi-region, multi-language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: _ We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Software Engineer – Identity and Access, Identity Squads This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden. The Opportunity: Every day, millions of users rely on Grafana to monitor the health and performance of their critical systems, from software applications to factories and even space shuttles. Our mission is two-fold: to provide a seamless and effortless sign-in experience for all users, and to ensure administrators have complete peace of mind, knowing that every user has secure access to precisely the data and functionality they need. The Identity and Access team at Grafana manages all aspects of authentication and authorization, working across both our open-source and proprietary codebases. The Identity squad, within the team, owns the authentication layer — the protocols and flows that determine how every Grafana user proves who they are. We actively implement cutting-edge authentication protocols such as MCP OAuth (OAuth 2.1), OIDC, SAML, LDAP, and SCIM, rather than relying on off-the-shelf components. We are completely redesigning Grafana’s authentication at the edge — a rare opportunity to shape the technical direction of authentication infrastructure at scale, with a direct impact on millions of users every day. Our code paths sit in the critical hot paths across Grafana’s services, making every millisecond of performance essential. As a Staff Engineer, you will be central to defining how we evolve these systems. What You’ll Be Doing: As a Staff Engineer on the Identity squad, you will set the technical direction for our authentication systems and lead the most complex initiatives from conception through delivery. You will collaborate closely with engineering leadership, product management, and cross-functional partners to define how Grafana authenticates millions of users every day. • Approximately 55% of your time will be dedicated to backend development (Golang), 25% to technical leadership and cross-team collaboration, and 20% to operations and reliability., • Define and own the technical architecture for the Identity squad’s authentication systems, including our edge authentication redesign., • Lead the design and implementation of large-scale, multi-quarter initiatives in the critical path of user interaction, spanning multiple services and teams., • Mentor and develop senior engineers, providing technical guidance, design feedback, and support for their professional growth., • Serve as a technical authority for identity protocols at Grafana, driving alignment on how we implement and evolve OAuth, OIDC, SAML, LDAP, and SCIM across the organization., • Drive cross-team technical alignment on authentication standards, patterns, and best practices across Grafana’s engineering organization., • Represent Grafana Labs at meetups and conferences, and contribute to the broader identity and authentication community. As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and strong communication skills are essential. What Makes You a Great Fit: • Deep, proven expertise in distributed systems engineering with Go, with a track record of owning and delivering large-scale production systems end-to-end., • Demonstrated ability to define technical direction and drive architectural decisions independently, with impact that extends beyond your immediate team., • Extensive experience building and operating low-latency, high-throughput services in distributed, multi-tenant environments., • Proven track record of leading and delivering complex, multi-quarter initiatives that span multiple teams or systems., • Ability to mentor and develop senior engineers, elevating the technical quality and capabilities of those around you., • Strong understanding of SLOs, SLIs, error budgets, and how to design systems that balance reliability, security, and product velocity., • Excellent written and verbal communication skills in English; able to clearly convey complex technical decisions to diverse audiences, including engineering leadership and non-technical stakeholders., • Expert-level understanding of modern identity standards and threat models (OAuth 2.x / 2.1, OIDC, SAML), and how to implement them securely at scale. Bonus Points For: • Familiarity with Kubernetes., • TypeScript/React experience., • Experience working with OpenFGA and KiFederate IDP., • Experience working in security critical environments., • Experience contributing to or maintaining Open Source projects., • Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry). Compensation & Rewards: In the UK, the Base compensation range for this role is £100,000 - £124,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Senior Security Engineer (AI & DevOps) iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Cybersecurity Location: WeWork Waterloo - Hybrid ( Comp: $ (Base) + Company Performance Bonus (20%) + Share Options + US iProov Benefits The role was created specifically to provide the technical security depth that will allow us to accelerate our adoption of agentic AI, equipping developers and data scientists building our biometric products with the tools and workflows to use AI safely and at pace. You will work as the direct counterpart to our GRC-focused InfoSec Manager, owning the engineering and implementation side of our security posture across cloud infrastructure, developer workflows, AI systems, and our core security toolstack. This is a role for someone who has built and shipped software or infrastructure and brings that experience into a security context. • Architect and deploy the secure technical framework that governs the security controls for how our developers and scientists use agentic AI, including AI coding assistants, autonomous agents, and LLM-integrated tooling. Given that these systems can autonomously access data, execute code, and interact with external services, the guardrails you design will need to address a substantially broader attack surface than traditional AI tooling, and must hold up in a context where the underlying data is among the most sensitive we handle., • Be the primary technical security voice in decisions around the use and deployment of externally developed AI, ensuring the right controls are in place from the onset, • Continuously mature automated security controls into CI/CD pipelines and infrastructure-as-code deployments, championing the DevSecOps culture across a large engineering organisation., • Take hands-on ownership of our core security technology stack, including Wiz, CrowdStrike, Google SecOps, and Tailscale, ensuring these platforms are correctly configured, tuned, and integrated., • Drive continuous technical delivery of strategic security initiatives, systematically identifying, triaging, and closing gaps across our cloud environments, internal networks, and developer workflows., • Provide technical oversight of the security of the data pipelines feeding our internal AI systems and, critically, the permissions and access boundaries of agentic AI systems reaching out into other environments, enforcing the principle of least privilege, maintaining audit trails, and ensuring sensitive data and code integrity is handled with the rigour required., • Complement the work of our existing biometric and product focused Red Team by owning security coverage of the DevSecOps surface, the build pipeline, internal toolchain, cloud environments and developer infrastructure., • Act as the primary technical security partner to our GRC-focused InfoSec Manager, translating governance and compliance mandates into concrete, automated engineering controls., • Represent the technical security function in external audits. This includes presenting evidence of controls, articulating the security posture of our cloud and AI environments to auditors, and working closely with the InfoSec Manager to ensure the technical substance behind our compliance position is clearly and credibly communicated., • A foundational background in software engineering or DevOps before moving into a dedicated security role: you understand how code is written, tested, and deployed, and that experience is central to how you approach security problems., • Proven, hands-on experience securing modern cloud infrastructure and containerised environments, with a solid understanding of infrastructure-as-code principles and the security implications of how infrastructure is defined and provisioned., • Proficiency in deploying and administering enterprise security platforms, ideally with direct experience managing tools spanning CNAPP, EDR, SIEM, and zero-trust networking., • A heavy and active user of AI in both professional and personal contexts, including agentic AI tools and coding assistants, with a grounded understanding of the evolving AI threat landscape, including model supply chain risks, prompt injection, data exfiltration, agent misuse, and LLM-specific attack vectors., • Scripting and automation capability, particularly in Python, to build internal tooling, automate security checks, and reduce reliance on manual processes across the security function., • Prior experience or a demonstrated practical interest in securing AI workloads, data pipelines, and machine learning environments., • The communication skills to collaborate effectively with highly technical stakeholders, champion security initiatives without hindering developer productivity, and translate risk into language that resonates with both engineering peers and business leadership, including the confidence to present technical security evidence clearly in formal external audit settings., • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies. We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human — every day. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It’s been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500™ for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave™: Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles. We're seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let's transform the industry together! Technical Account Manager As a Technical Account Manager at CreatorIQ, you'll serve as the senior technical partner for a portfolio of enterprise customers — sitting at the intersection of Customer Experience, Product, and Engineering. This is not a revenue-carrying role; there are no quotas, no upsell targets, no commission. You're here to make customers technically successful and to serve as the internal voice of their platform health. This role is critical to ensuring enterprise customer stability, technical confidence, and operational continuity across increasingly sophisticated customer environments. You'll partner closely with Customer Success Managers to ensure your accounts are fully configured, technically sound, and accelerating toward platform outcomes. Where CSMs own the relationship and business outcomes, you own the technical depth — integrations, data flows, product configuration, API health, and escalation triage. Serve as the dedicated technical point of contact for a named portfolio of enterprise accounts, alongside their assigned CSM Conduct regular technical health reviews — assessing integration health, API usage, configuration gaps, platform adoption blockers, and integration best practices that drive enterprise customer stability Lead technical customer workshops and escalation discussions as the technical lead for assigned accounts Proactively identify technical risks before they become escalations; build remediation plans and see them through Guide customers through complex platform configurations, custom reporting setups, and integration architecture for CreatorIQ's NextGen platform Translate customer business goals into technical requirements and platform configurations within CreatorIQ Own the technical success plan for each account — documenting integration specs, data flows, custom setups, and known risks Lead customers through complex technical transformations, platform changes, and operational scaling initiatives while ensuring continuity and customer confidence Partner with the Education team to identify knowledge gaps and feed them into training content and in-app guidance improvements Serve as the internal technical advocate for your accounts — escalating product gaps, bugs, and configuration issues with well-structured context and business impact framing Coordinate technical work streams across Product Support, Engineering, Product, and Implementation to ensure enterprise issues are prioritized, communicated clearly, and driven through resolution Provide customers with structured technical updates, remediation plans, risk assessments, and realistic delivery expectations during escalations Contribute to the CS-Product escalation framework by surfacing recurring technical patterns across your portfolio and translating them into actionable product feedback Partner with Implementation during complex onboarding engagements that require advanced technical scoping or platform customization Work with Product Support to ensure Tier 2/3 issues in your accounts are resolved quickly and with full context preserved Maintain accurate documentation of each account's technical configuration, integration architecture, and open technical issues in Notion and Zendesk Contribute to internal playbooks for common technical patterns, integration scenarios, and migration edge cases Track and report on technical health signals across your portfolio — flagging accounts that are technically at-risk before churn signals surface in the CSM layer 4–7 years in a Technical Account Manager, Solutions Engineer, Technical CSM, or Senior Support Engineer role within a SaaS company Experience owning technical relationships with enterprise-tier accounts — not transactional; strategic, named accounts Demonstrated ability to work across APIs, integrations, data pipeline concepts, and SaaS platform configuration without needing Engineering to hand-hold every step Familiarity with influencer marketing, creator economy, or social media data platforms is a strong plus — but coachable domain knowledge is acceptable Bilingual in technical and business: you can explain an API authentication failure to an engineer and a workflow misconfiguration to a CMO in the same day Strong project management instincts — you track open items, set realistic timelines, and close loops without being asked twice You write well and document thoroughly — your Notion pages, Zendesk notes, and escalation briefs are clear enough that a CSM can act on them without a Slack follow-up Calm under escalation pressure; you de-escalate with data and a plan, not reassurances Comfortable working autonomously in a remote environment while staying tightly coordinated with CSMs, Product Support, and Engineering Curious about AI, automation, and how technical tooling can make customer teams more efficient Confidence can sometimes hold us back from applying for a job. But we'll let you in on a secret: there's no such thing as a 'perfect' candidate. Have 50% of the criteria? Excited about this opportunity? Passionate about what we do at CreatorIQ? Please apply! CreatorIQ is a place where everyone can grow. People: work with talented, collaborative, and friendly people who love what they do. Guidance: utilize our learning platform to fully get the training and tools you’ll need to become successful here from your first day with us. Work/life harmony: 25 days vacation, floating and set holidays, wellness allowance, and paid parental leave. Stock options as part of our equity-sharing program. Healthcare coverage, encompassing mental health, physical therapies, dental, vision, cancer coverage, and more. Comprehensive perks program providing stipends for wellness, cell phone and internet, home office setup, mental wellness, professional development, plus occasional company-funded meal opportunities throughout the year. CreatorIQ is the operating system for creator-led growth. Trusted by more than 1,300 global brands and agencies—including Burson, Delta Air Lines, Google, LVMH, Nestlé, and Sephora—CreatorIQ unifies creator marketing across paid, owned, earned, commerce, and community into one seamless, enterprise-grade ecosystem. With industry-leading intelligence infrastructure, rigorous compliance and security standards, and integrations with Meta, Snapchat, TikTok, YouTube, and more, CreatorIQ empowers brands and agencies to harness the creator economy as a strategic growth engine. CreatorIQ is a global company headquartered in Los Angeles with offices in Austin, New York, San Francisco, London, Manila, and Warsaw. Learn more at and follow us on and. At CreatorIQ, we believe that diversity is the key to unlocking our full potential. We are committed to fostering an inclusive, equitable, and empowering work environment where everyone can thrive, regardless of race, ethnicity, gender, sexual orientation, age, religion, disability, or any other characteristic that makes us unique. By embracing our core values of being intentional, pursuing excellence every day, embracing the journey together, being a good human, and staying focused on what’s important, we create an atmosphere that promotes collaboration and growth. Join us to celebrate differences, innovate together, and be a part of a business that is disrupting the marketing industry. We understand that a comprehensive benefits package plays a significant role in your overall compensation. To gain more insight into the various components of our total compensation, _. AI Transparency Notice We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications and note taking during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to our _.

Service Delivery Consultant Remote-based/ travel to customer and Roc offices as required) We’re looking for a highly skilled Senior Security & Infrastructure Engineer (SDE) to play a key role within a Managed Service environment supporting a high-profile customer. In this position, you’ll lead on proactive support, technical delivery, and continuous improvement of managed services. Acting as the highest point of technical escalation, you’ll work closely with customer stakeholders, internal teams, and project staff to deliver secure, resilient, and best-in-class solutions. This is a hands-on, technically advanced role with a strong focus on security operations, infrastructure protection, and service excellence. What You’ll Be Doing Security Operations • Monitor and respond to security alerts, threats, and incidents across infrastructure and cloud environments, • Investigate complex incidents (malware, phishing, unauthorised access, vulnerabilities), • Implement and maintain security controls across systems and endpoints, • Work with SIEM, endpoint protection, and threat detection tools Infrastructure & Cloud Security • Secure servers, networks, and cloud platforms in line with best practices, • Manage identity and access controls (Active Directory, Azure AD, privileged access), • Oversee patching, system hardening, and configuration management, • Lead security onboarding using tools like Microsoft Defender and Purview Incident Response & Threat Management • Lead technical investigations and remediation activities, • Conduct root cause analysis and recommend preventative measures, • Support forensic investigations when required Vulnerability & Risk Management • Perform vulnerability assessments and coordinate remediation, • Identify risks and recommend security improvements, • Collaborate across teams to reduce organisational risk Technical Leadership & Escalation • Act as the senior escalation point for complex issues, • Support and mentor Service Desk and 2nd/3rd Line engineers, • Provide technical input into new managed service opportunities Compliance & Best Practice • Support compliance frameworks (ISO 27001, Cyber Essentials, NIST), • Assist with audits and ensure adherence to policies and standards Continuous Improvement • Enhance processes, tooling, and documentation, • Drive automation and improved monitoring capabilities, • Stay current with emerging threats and technologies What We’re Looking For Essential Skills & Experience • 5+ years in a Managed Services environment, • Strong knowledge of security operations and infrastructure security, • Experience with Microsoft 365, Azure, and cloud security, • Virtualisation experience (VMware & Azure), • Backup solutions (Veeam, Azure Backup), • Networking knowledge (routing, switching, VLANs, firewalls, VPNs), • Experience with SIEM and security monitoring tools, • Familiarity with Microsoft Defender, Endpoint Protection, or similar tools, • Strong understanding of ITIL frameworks, • Excellent communication and stakeholder engagement skills Desirable • Security certifications (CompTIA Security+, Microsoft SC-200/300/100), • Knowledge of ISO 27001, NIST, CIS benchmarks, • Experience with ITSM tools, • BPSS or SC Clearance Key Attributes • Strong problem-solving and analytical skills, • Ability to prioritise and perform under pressure, • Proactive, self-motivated, and driven to improve, • Collaborative team player with leadership capability, • Professional, customer-focused approach Additional Information • Travel to customer and Roc offices may be required, • Participation in a 24/7 on-call rota (subject to approval), • Occasional out-of-hours work for maintenance/releases (TOIL provided)

Attio is the CRM built for the AI era. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless — all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re hiring Attio’s first dedicated Data Engineering Lead to build the infrastructure, pipelines and standards that enable the company to operate on reliable, trusted data at scale. As our inaugural Lead Data Engineer, you’ll own and evolve our internal data platform end-to-end — improving reliability, enabling better decision-making, and shaping the long-term foundations of data across the business. Your work will directly support teams across Product, Engineering, Marketing, Finance and Go-To-Market. We see this as far more than a traditional Data Engineering role. It’s an opportunity to define and shape Attio’s future data capability from the ground up — operating as a highly hands-on senior IC initially, whilst helping establish the foundations, standards and strategic roadmap for how the broader data function evolves over time. The role is ideally suited to someone who enjoys bringing structure to ambiguity, solving complex infrastructure challenges, and working closely with the business in a fast-moving, product-led environment. We’re looking for someone who is equally comfortable being hands-on and building, whilst also thinking strategically about how scalable data systems, processes and teams should evolve over time. Build and stabilise core data infrastructure: Design, build and maintain reliable, scalable pipelines and systems that ensure data flows correctly across the business and support critical operational and reporting workflows. Improve data reliability and observability: Own and improve the quality, resilience and maintainability of Attio’s broader data infrastructure — helping reduce operational risk and improve trust in the data underpinning the business. Shape Attio’s future data architecture: Partner closely with Product, Engineering and business stakeholders to define how our data platform should evolve over time, balancing immediate business needs with long-term scalability. Enable better business decision-making: Help create the foundational datasets, transformations and infrastructure required to support experimentation, analytics and operational reporting across the company. Operate as a senior technical leader: Bring clarity and direction within ambiguity — taking loosely defined problems, creating clear plans of execution, and driving outcomes with a high degree of ownership and autonomy. Help build the future data function: Contribute toward defining best practices, technical standards and longer-term hiring plans as Attio’s data capability matures and scales over time. Strong Data Engineering foundations: Deep hands-on experience designing and maintaining modern data infrastructure, pipelines and transformation layers within cloud-native environments. Technical depth across modern data tooling: Strong hands-on Data Engineering capability across modern tooling such as BigQuery, DBT, SQL and Python (or equivalent ecosystems e.g. Snowflake). Startup or scale-up experience: You’ve operated within fast-moving product or engineering-led environments and understand how to balance speed, ambiguity and long-term technical quality. Translation across abstraction levels: Able to move fluently between ambiguous business problems and precise technical implementation by translating effectively in both directions. Quantitative reasoning: Able to translate ambiguous business concepts (e.g. “activated workspace” or “qualified lead”) into clear, measurable and defensible definitions, with strong judgement around whether resulting outputs represent meaningful signal or simply noise. High ownership and autonomy: Comfortable operating as a senior IC with minimal direction. You have experience being responsible for problems end-to-end and driving them through to resolution. Pragmatic technical leadership: You’re able to bring structure and prioritisation to unclear problem spaces, communicate effectively with both technical and non-technical stakeholders, and influence decisions across the business. Commercial and operational awareness: You understand that data infrastructure is not just an engineering problem: it directly impacts product velocity, reporting accuracy, experimentation capability and commercial performance. Bias for action: You move with urgency, enjoy solving difficult problems, and are equally comfortable operating strategically as you are rolling up your sleeves and building directly. UK benefits Competitive salary of £115,000 - £145,000 Equity in an early-stage tech company on an incredible trajectory 25 days holiday plus local public holidays Apple hardware Private medical insurance through AXA Pension contribution through Hargreaves Lansdown Enhanced family leave Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far) Initial Conversations 30-minute introductory call with a member of our Talent team 45-minute conversation with our CTO & Co-Founder Core Interviews System Architecture & Technical Foundations session with our Staff Product Engineer Data Analysis & Commercial Reasoning session with our Product Lead - Growth Final Stage 30-minute closing conversation with our CEO Optional team meet-and-greet (on request) Offer call (if it’s a mutual fit)

World Class Defence Organisation based in Stevenage, Hertfordshire is currently looking to recruit a C++ Software Engineer subcontractor on an initial 12 month contract, with very likely extension. The role will be onsite 4 days per week. A 4 day working week is OK (Monday to Thursday). Candidates with a strong C++ Software Engineering / Embedded Software Engineer background ideally from the Defence / Aerospace industry would be suitable for this position. Rate: £67.00 per hour Overtime Rate: Hours worked over the standard 37 hours per week, will be paid at ‘time and a quarter’ Location: Stevenage Hybrid / Remote working: The role will be onsite 4 days per week. A 4 day working week is OK (Monday to Thursday). Duration: 12 Months with very likely extension. Contracts are often ongoing and long-term thereafter. IR35 status: Inside IR35 (Umbrella) Interview process: One stage video interview Job Description: By embracing the latest software technologies and methods the Development Simulation software department delivers exceptional software solutions for non-production based test systems that meet the unique requirements of the prime software development teams. In addition we also provide equipment simulation systems to support product integration as well as software to support and assist the manufacturing process. The successful candidate will join the development team responsible for building and integrating real-time test and data capture systems. The role will focus on developing and maintaining software in a Linux environment, working closely with high-speed multi-channel SFPDP cards, real-time data flows, and complex multi-threaded processing pipelines. Proficient in C++ and with knowledge of C#, you will play a critical part in the design, development, integration, and verification of test software solutions that are central to our system validation and delivery capabilities. Responsibilities: • Design and develop real-time test and capture software on Linux systems using C++., • Integrate and interface with high-speed SFPDP cards across multi-channel data pipelines., • Architect and implement robust, scalable, and maintainable multi-threaded applications., • Define and implement data sequencing and synchronisation logic to support deterministic capture and replay., • Work with hardware teams to ensure seamless integration and timing alignment between software and capture cards., • Lead and contribute to system integration, verification, and testing at both component and system levels., • Conduct performance analysis, debugging, and optimisation of real-time systems., • Document architecture, interface definitions, and test procedures to support handover and formal test activities. Skillset/experience required: • Extensive experience in C++ development in a Linux environment., • Proficiency in C# for tooling, test interfaces, or Windows components as needed., • Proven experience working with real-time data systems, preferably involving SFPDP or other high-speed digital protocols., • Demonstrable skills in multi-threaded and concurrent programming., • Experience with low-level I/O, DMA, or driver-level interactions with PCIe cards or similar., • Familiarity with software sequencing frameworks or custom state machines for test execution., • Strong experience with integration, system test, and debugging complex interactions between software and hardware., • Strong understanding of software design principles, memory management, and performance optimisation., • Experience with version control systems (e.g., Git) and CI/CD Desirable Skills: • Experience with SFPDP (Serial Front Panel Data Port) specifically in defence, aerospace, or data acquisition contexts., • Knowledge of FPGA-based data acquisition systems and synchronisation methods., • Familiarity with unit testing frameworks, automated test rigs, or hardware-in-the-loop (HWIL) setups., • Experience developing or integrating with real-time operating systems (RTOS) or using real-time Linux extensions.

We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release! _ • Close Collaboration: Work side-by-side with research scientists to conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing., • Improve model training pipelines. You’ll debug distributed training, optimize data loading at massive scale, and ensure smooth scaling across compute environments., • Optimize performance. You’ll profile and accelerate existing training and inference code to make experiments faster and production systems more responsive., • Integrate models into production environments. You’ll work directly with platform and product teams to deploy models into the hands of hundreds of millions of Spotify’s users., • Incorporate state-of-the-art research. You'll translate models and techniques described in the literature into robust, well-engineered prototypes., • Maintain a high-quality codebase. You’ll enforce clear structure, consistency, and testing practices to support long-term maintainability on a codebase shared between members of a fast-paced globally distributed team., • Enhance researcher experience. You’ll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team., • You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks., • You have experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure., • You understand how to debug problems in machine learning training code., • You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents., • You have experience optimizing code for performance and can make GPUs “go brrr” (train at maximum efficiency)., • You learn new concepts and technologies quickly and keep up to date with the rapid pace of development in machine learning and AI., • You are resourceful and proactive; when faced with blockers, you seek out solutions through research, experimentation, and collaboration., • You’re not afraid to dig deep into the stack: working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus., • You have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like., • You have an interest in learning more about audio processing and music information retrieval and you're excited about building amazing products that use these technologies., • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have_, • This team operates within the Central European and GMT time zone for collaboration., • Core working hours are CET 3pm-6pm / EST 9am-12pm.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

Location As a Financial Systems Engineer, you will be part of Business Systems Engineering, a group of several teams that builds and runs the systems the company operates on. This role is based remotely in the United States (Eastern time zone), the UK, or Ireland. Who We Are DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers are operating in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multi-cloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, Microsoft Azure and Ingram Micro, we work alongside more than 4,000 customers worldwide. The Opportunity We are modernizing how we run our financial systems and bringing this work in-house, and we're looking for a Financial Systems Engineer to own it. You will own our financial systems - NetSuite today, with FloQast and Ramp coming online - as an engineer, not just an administrator. What sets this role apart is mindset. You are the kind of person who is averse to doing the same manual task twice and instinctively looks for ways to automate it away. You will own the configuration and business logic of the financial systems, keeping each one doing what it does best, and partner with our internal engineering team on cross-system integration rather than wiring it together by hand. This is a high-ownership role serving Finance and Accounting directly. You will be their dedicated systems partner - someone who knows the platforms deeply, is invested in making them better, and treats reducing manual, error-prone work as the core of the job rather than something to do on the side. Reporting to the Manager of Enterprise Systems, you will have real room to shape how finance operations run as the company scales Responsibilities • Own and administer our core financial systems - NetSuite today, with FloQast and Ramp coming online - including configuration, business logic, and day-to-day system health., • Identify manual, recurring, or error-prone finance operations (month-end close, reconciliations, reporting, procure-to-pay) and reduce or remove them through automation, choosing the simplest effective approach and partnering with engineering for heavier builds., • Serve as the business-logic and data expert for the finance domain, partnering with engineering to define and maintain the rules and canonical definitions the systems rely on., • Build cross-system integrations on a central, version-controlled, observable integration platform in partnership with engineering, rather than as one-off scripts buried inside individual tools., • Act as the dedicated systems partner to Finance and Accounting: translate their needs into system capability, own those working relationships, and serve as the technical owner for financial-vendor onboarding, configuration, and administration., • Use modern AI tooling to draft automations and accelerate routine system work, amplifying your output rather than adding manual effort. Qualifications • 3-6 years administering a financial or ERP system, with hands-on NetSuite administration required, including:, • configuration, customization, user access, roles, permissions, and workflows;, • core modules such as General Ledger, Advanced Revenue Management, Accounts, and subsidiary / multi-location structures;, • designing and implementing custom records, fields, and automations;, • building SuiteFlow automations in response to changing business needs;, • managing the NetSuite integration ecosystem., • A working understanding of core finance and accounting processes: month-end close, reconciliation, accounts payable / procure-to-pay, and revenue., • A strong drive to eliminate repetitive manual work, with a demonstrated track record of automating it (e.g. scripting, saved searches, workflow automation, or low-code/iPaaS tools)., • Sound judgment about where logic belongs - what should be system configuration, what should be a cross-system integration, and which system is the source of truth for a given piece of data., • Comfort with at least one of SuiteScript, SQL, general scripting, or API-based automation, and the ability to read and reason about integrations even when engineering builds them., • Strong collaboration and communication across both finance and engineering teams, with the ability to translate between them., • Fluent English; knowledge of any other language is an advantage. Bonus Points: • FloQast and/or Ramp administration experience., • Experience working against a central integration platform or in an event-driven environment., • Comfort using AI coding and automation tools in day-to-day work., • Depth in SuiteScript (1.0 / 2.0), RESTlets, or NetSuite web services. Are you a Do’er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our _. Sounds too good to be true? Check out our_. We thought so too, but we’re here and happy we hit that ‘apply’ button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend, • Peer Recognition Program Many Do’ers, One Team DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

Did you know that some cat food contains as little as 4% meat? Cats are carnivores – they need meat to thrive – but cat food companies use powdered animal derivatives because it’s cheaper and easier, and they top it up with grains and fillers that cats find hard to digest. It’s all about shelf life and profit; not what cats really need. We do things differently at KatKin. We’re changing the cat food industry, with our 100% Fresh-cooked premium meat recipes, delivered to doorsteps everywhere. Each recipe is designed by our in-house vets and nutritionists, to be the very best (and tastiest) nutrition for cats. KatKin is building a global challenger brand in cat health and wellbeing, going after a $50B global market. Beyond the core product of Fresh food for cats, KatKin’s vision is to build a set of products and services for Cat Parents to manage their cat’s health. Everything from litter and treats, to digital health management for your cat. Today, KatKin is a UK D2C business that recently expanded into Retail and is planning to launch international markets, likely the US, from 2025 onwards. Millions of cat parents engage with KatKin every month, and as a Full-Stack Engineer at KatKin, you’ll work alongside our Engineering team in bringing our hardcore cat parent’s digital journey to life. You will work closely with our Director of Engineering, Product, Design, Data, and the rest of the Engineering team to help meet the day-to-day and long-term ambitions of KatKin and its customers. You will own and create the components and technology necessary to provide a best-in-class experience for cat parents whenever they visit our website or use our subscription service. We are a close-knit, focused team who are committed to consistently delivering high quality technology, on time, as part of a tech-driven mindset that lets us focus on building the right solutions for scaling our business into the future. Our current tech stack makes heavy use of TypeScript, particularly NextJS on the frontend, NestJS microservices on the backend with Prisma, and various other technologies and tools like Postgresql and RabbitMQ. This role will work from our London office in Farringdon 3 days a week. Delivering functionality across the entire stack, in line with our software requirements Evaluating and implementing new technologies to scale and streamline our software pipelines Working closely with our product team & stakeholders to build scalable, fit-for-purpose solutions for serving our customers Shared responsibility for the maintenance and quality of codebases and infrastructure Good familiarity with RESTful web services. Familiarity with CI/CD pipelines and tools, particularly Github Actions Strong Experience using or deploying into AWS and/or Kubernetes, using IaC tools such as Terraform or CDK Strong Experience working with monorepos and tooling such as NX/Lerna/Bazel. Excellent understanding of TypeScript, React and Node. Mission-driven, high energy and a natural sense of curiosity and urgency for results. A genuine passion for technology and KatKin’s mission. Experience working in a fast paced environment, taking ownership of features end to end, and balancing between velocity and technical quality. Experience within eCommerce and/or payments Good understanding of OOP and/or functional paradigms. Good understanding of software security, OWASP and scaling of software systems Good understanding of NextJS or other similar server-focused frontend metaframework. Bonus points for having used React’s server components API. Experience with Cypress/Playwright/any test automation tools and processes Familiarity or interest with observability and metrics tooling. You have a cat, or two or three! Competitive salary in the range of £75,000 - £100,000 Career-defining opportunity in being instrumental to scaling our brand, fast No egos and a small close-knit team 25 days of holiday every year plus your birthday off and an additional day for every year at KatKin 4 week WFA (work from anywhere) policy Hybrid working, up to 2 days WFH every week 12-weeks paternity / maternity leave Discount on KatKin fresh food and pantry products for your cat, and £500 for new cat parents Comprehensive AXA health insurance including optical and dental £800 yearly personal development budget Macbook Pro Company pension Regular company socials and lunch provided on Mondays All the fresh fruit, soft drinks, tea and coffee you can eat and drink; great banter and a cat (and dog) friendly office

At Air Apps, we believe in thinking bigger and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018 and now with offices in both Lisbon and San Francisco, we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management and change lives along the way. As a DevOps Engineer – Mobile, you will play a crucial role in streamlining the delivery, integration, and performance of our iOS and Android mobile apps. You'll help shape and maintain the infrastructure, CI/CD pipelines, and automation processes that enable our mobile engineering teams to ship faster and more reliably. Your work will directly impact millions of users worldwide by ensuring high availability, rapid deployment, and top-tier performance. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Design, implement, and maintain robust CI/CD pipelines tailored for mobile app development (iOS and Android). Automate build, test, and deployment workflows across multiple environments. Manage cloud infrastructure to support mobile backend services and tooling. Collaborate with mobile developers to ensure efficient release cycles and fast feedback loops. Optimize the performance, reliability, and scalability of mobile-specific infrastructure and build systems. Integrate monitoring, logging, and alerting for mobile services and CI/CD systems. Enforce mobile app security best practices, including certificate management, secrets handling, and signing processes. Support infrastructure as code (IaC) practices using tools like Terraform. Continuously evaluate and implement emerging DevOps tools and practices to improve mobile development workflows. Around 3+ years of experience in DevOps, with a strong emphasis on mobile app pipelines and automation. Proficiency with mobile CI/CD tools (e.g., GitHub Actions, Bitrise, fastlane, CircleCI, or GitLab CI). Experience in building and distributing iOS and Android applications in scalable environments. Familiarity with Apple Developer tools (Xcode, provisioning profiles, code signing) and Google Play Store pipelines. Hands-on experience with cloud platforms such as GCP, Azure, or AWS. Experience with Docker, Kubernetes, or similar containerization and orchestration systems. Strong scripting skills in Bash, Python, or similar languages. Understanding of mobile-specific security practices (e.g., certificate management, secure storage). Familiarity with monitoring and logging tools like Prometheus, Grafana, or Datadog. Experience working in Agile or cross-functional teams with a product-driven mindset. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Mid - Snr Software Engineer - Tech for good Location: Remote/Hybrid (UK or Ireland-based, occasional in-person travel) Contract: 9-month fixed-term (Full-time, PAYE) Salary: Up to £65k Make an Impact, Tech That Matters Join a pioneering startup on a mission to break down digital barriers for the deaf community. This company is the first of its kind, using cutting-edge tech to translate digital and written content into sign language - making information truly accessible for everyone. They're small, scrappy, ambitious, and working on a platform that combines AI, microservices, and cloud-native infrastructure to transform how sign language is delivered at scale. Why Join? • Zero tech debt: Build from the ground up - clean slate., • Big purpose: Your work directly improves access to information for underserved communities., • Modern stack: Microservices, Python, FastAPI, React, Azure, AI/ML - all in play., • Ownership: Shape the architecture and engineering culture from day one., • Hybrid freedom: Mostly remote, with occasional travel to meet the team. What You'll Be Doing • Build and ship new customer-facing features across both frontend and backend, • Design scalable systems and contribute to architectural decisions, • Collaborate with product and design to bring ideas to life, • Own your code end-to-end, from implementation to deployment, • Help shape engineering culture in a small, high-impact team You'll Thrive Here If You • Have 6+ years' experience as a full-stack engineer, • Are confident building both frontend (React, Nuxt, JS frameworks) and backend (FastAPI, Node.js, GraphQL, etc.) systems, • Write clean, consistent code quickly and thoughtfully, • Are comfortable moving fast and wearing many hats in an early-stage startup, • Care about inclusion and accessibility - especially for overlooked communities Our tech stack Frontend & Backend • React, Nuxt, JavaScript/TypeScript, • FastAPI, Node.js, • REST, CRUD, GraphQL, WebSockets Cloud & Infra • Azure (core platform), • Microservices architecture, • CI/CD via GitHub Actions & Azure DevOps, • Infrastructure as Code: Terraform, Bicep, Pulumi, etc. Databases & Messaging • PostgreSQL / MySQL (relational), • MongoDB, Redis (NoSQL), • Azure Fabric, Data Factory, • Azure Event Hubs, Kusto QL Tooling & Monitoring • Datadog, CircleCI, Prometheus, Grafana, • Strong focus on observability and fault tolerance Why Join? • Mission-driven: Make a meaningful impact on digital accessibility, • Equity potential if converted to permanent, • High agency and ownership in your work, • Work alongside passionate, creative problem-solvers This is a chance to build the foundations of a meaningful product - one that transforms how Deaf users access information - using modern tech and thoughtful engineering. Interested? Let's talk. CVs, videos, or sign language applications are all welcome. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Join the Growth Story at Envitia Envitia operates at the heart of the UK’s most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We’re thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025—a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: • Engineering large-scale data ingestion and processing pipelines, • Designing data lakes and distributed data platforms, • Enabling analytics and AI/ML workloads, • Supporting intelligence data exploitation workflows, • Integrating multiple classified data sources across secure environments Job Responsibilities • Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data., • Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings., • Engineer high‑performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems., • Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use., • Build scalable, distributed data processing solutions using modern big data and parallel processing technologies., • Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms., • Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes., • Optimise data storage and processing architectures to support high‑performance analytical environments., • Contribute to DevSecOps and cloud‑native delivery, including automated deployment, infrastructure provisioning and containerised environments., • Support the ongoing operation, observability and resilience of production data platforms. Skills Required • Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL., • Hands‑on experience building and operating large‑scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop)., • Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools., • Experience working with cloud‑native data platforms, with strong expertise in AWS and native data services., • Familiarity with Infrastructure as Code and modern cloud‑native data architectures., • Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling., • Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions., • Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations – Gloucester, London, Manchester (based on project requirements). What’s in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well-being. • More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most., • Private Medical Insurance: We’ve got you covered with comprehensive private healthcare, including family options for added peace of mind., • Security Clearance Bonus: Up to £5,000 year, • Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you’re always learning, growing and staying ahead of the curve., • Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses., • Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present., • Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation., • Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services., • Recognition that counts: Great work doesn’t go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine., • Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.

What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team. What You Bring to the Team: • Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker), • Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale., • Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices., • Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps., • Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions., • Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies. What Sets You Up for Success: • 5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production., • Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing)., • Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms), • Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms., • Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews, using Docker, Terform, Kubernetes)., • Expert-level SQL skills and experience working with large datasets for analysis and modeling., • Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges., • Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams., • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Bonus Skills to Stand Out (Optional): • Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment., • Experience with data quality monitoring tools and frameworks., • Master’s or PhD in Computer Science, Mathematics, or a related field. #LI-IK1 What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at _ Company _ to Check Out! • Best All-In-One Hotel Management System | HotelTechAwards (2025), • Overall 10 Best Places to Work | HotelTechAwards (2025), • Most Loved Workplace® Certified (2024), • Top 10 People’s Choice(2024), • Deloitte Technology Fast 500 (2024) Discover our Benefits: • Remote First, Remote Always, • PTO in accordance with local labor requirements, • Monthly Wellness Fridays - enjoy an extra long weekend every month, • Full Paid Parental Leave, • Home office stipend based on country of residency, • Professional development courses in Cloudbeds University, • Access to professional development, including manager training, upskilling and knowledge transfer. Everyone is Welcome - A Culture of Inclusion Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at _. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications. #LI-REMOTE

?? Polyglot Software Engineer ?? Hybrid - Southampton (1 day fortnightly) | ?? £60-80k + Equity | ?? Deep-Tech Startup | ? £60B Market Opportunity We're working with an early-stage deep-tech startup that's gunning for a slice of the £60B SQL database market - and doing so with serious technical firepower. Fresh off a £1.2M pre-seed and mid-way through a further £7M raise, they already have live enterprise customers and a product solving high-stakes, real-world problems. This is a true ground-floor opportunity - you'll be working on core product and platform decisions, right as they scale their UK engineering team. The Mission: They're building a platform that makes databases interchangeable - allowing enterprise applications to move seamlessly between different SQL databases (PostgreSQL, MySQL, Oracle, etc.) without rewriting core logic. Think: zero-downtime migrations, deep system integration, and high-performance virtualisation. What You'll Be Doing: • Building features for a next-gen database virtualisation platform, • Tackling performance, scalability, and system interoperability challenges, • Writing clean, well-tested code in multiple languages, • Working cross-functionally with product, DevOps, and architecture teams, • Helping shape the technical roadmap and scaling engineering processes What You'll Need: • Proficiency in 3+ languages (e.g., C++, TypeScript, Python, Java, Rust), • Strong fundamentals in algorithms, systems design, and data structures, • Experience with SQL databases (e.g., PostgreSQL, MySQL, Oracle), • Ability to pick up new tech fast and solve complex problems independently, • Comfortable operating in a fast-paced, early-stage environment Nice to Have: • Deep understanding of database internals or data migration, • Experience with Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP), • Familiarity with CI/CD and DevOps tooling (e.g., GitHub Actions) The Stack: Linux, C++, TypeScript, PostgreSQL, LLVM Docker, Kubernetes, GitHub, Azure Why It's Exciting: ? Join at the inflection point - live customers, big funding round, rapid growth ahead ? Take ownership of core engineering challenges that actually matter ? Be part of building something technically ambitious and commercially disruptive ? Equity on offer - strong long-term upside This one's perfect for engineers who love tough problems, clean design, and working across languages and platforms. If that's you, drop me a message and let's have a chat. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

About Us Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response. Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies — including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats. Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at _. About the Role We’re looking for a Senior Software Engineer who cares deeply about building high-quality products - not just testing them after the fact. In this role, you’ll help shape how quality is engineered into our products from day one, working across software development, automation, and modern testing practices. This role includes a blend of hands-on testing and automation. You’ll design systems, build tooling, and dive into manual testing where it adds the most value - all while helping the team deliver reliable software at scale. We’re exploring how AI can meaningfully improve quality engineering beyond code assistants, and you’ll have the opportunity to shape that journey in a practical, grounded way. This is an area we’re actively evolving, not a fully mature capability today. If you enjoy solving real engineering problems, improving how teams build software, and taking a pragmatic approach to quality, this role will give you the space to do it. Engineering Quality into the Product • Partner with engineers, product managers, and designers to build quality into features from the start - not bolt it on at the end., • Contribute directly to product code where it improves reliability, testability, and observability., • Help shape system design decisions to reduce defects before they happen. Building Scalable Test & Automation Systems • Design and implement robust, maintainable automation across API, integration, and UI layers., • Evolve our testing approach using modern engineering practices - focusing on fast feedback, meaningful and reliable results, and developer productivity., • Improve CI/CD pipelines so quality checks are fast, reliable, and genuinely useful (not just gates). Exploring AI-Driven Engineering • Experiment with AI to improve how we test and validate software - from intelligent test generation, smarter failure analysis and self-healing approaches., • Build or integrate tools that reduce manual effort and increase confidence in releases. Raising the Bar for Engineering • Help establish a strong, pragmatic quality culture that developers actually value., • Ensure quality is a shared responsibility across the team, not owned by a single individual., • Share ideas, mentor others, and contribute to how we continuously improve as a team., • Influence engineering practices beyond your immediate team., • Strong software engineering experience (JavaScript, TypeScript, or similar)., • A track record of building or improving automated testing in real-world systems., • Experience working in modern development environments with CI/CD and cloud platforms., • A practical mindset: you care about outcomes, not just frameworks or theory., • Hands-on experience applying AI within quality engineering or testing contexts - for example, test generation, failure analysis, test optimisation, or similar., • Ability to go beyond basic coding assistants and use AI to solve real testing or quality problems in innovative ways., • Experience working on security or high-reliability systems., • Exposure to performance or security testing., • Contributions to engineering communities, blogs, or open source., • Engineers move faster with more confidence because quality is built into their workflow., • Testing provides fast, meaningful feedback - not noise., • AI-driven approaches reduce manual effort and uncover issues earlier., • The team sees quality as an enabler, not a bottleneck., • You’ll be treated as a software engineer first, not a gatekeeper., • You’ll have room to experiment with new ideas, including AI, and turn them into real impact., • You’ll influence how software is built - not just how it’s tested. Ready to Join Us? At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply. What's Great About Sophos? · Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship. · Our people – we innovate and create, all of which are accompanied by a great sense of fun and team spirit · Employee-led diversity and inclusion networks that build community and provide education and advocacy · Annual charity and fundraising initiatives and volunteer days for employees to support local communities · Global employee sustainability initiatives to reduce our environmental footprint · Global fitness and trivia competitions to keep our bodies and minds sharp · Global wellbeing days for employees to relax and recharge · Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To You We’re proud of the diverse and inclusive environment we have at Sophos, and we’re committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data Protection If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos’ data protection practices, please consult our Privacy Policy _We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’. The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years. Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. Pleo is investing heavily in AI-powered features across the product. You will be part of the GenAI Core team which is responsible for the horizontal platform infrastructure that makes this possible. They look afterLLM routing, MCP servers, vector search infrastructure, evaluation frameworks, and agentic tooling. This is a hands-on backend/platform engineering role at the intersection of distributed systems and modern AI engineering. You will help design, build, and operate the shared AI infrastructure used by product teams across Pleo, with a strong focus on reliability, observability, security, and developer experience. You'll be reporting to the Engineering Manager for the GenAI Platform team and will be working closely with senior and staff Engineers in GenAI Core. You will also collaborate with Applied AI Engineers, Data Scientists, and product engineering teams across the business. As a Senior GenAI Platform Engineer you will: Design, build, and operate core GenAI platform components used by product teams at Pleo, including LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling (tracing LLM calls, supporting human and automated evaluation, detecting drift, and tracking costs) and infrastructure for multi-step, long-running agentic workflows. Own production-quality delivery of platform features, from design through rollout, monitoring, and follow-up. Contribute to resilient system design: sensible APIs, failure handling, rate limiting, retries, idempotency, and safe change management. Improve reliability and observability through metrics, dashboards, alerting, incident follow-ups, and operational improvements. Partner with Applied AI Engineers and product teams to understand platform needs and help them build AI-powered features safely. Build internal SDKs, templates, and guardrails that let product engineers build AI features without needing deep infrastructure expertise. Support other engineers through pairing, code reviews, technical feedback, and clear documentation. Help evaluate build-vs-buy decisions in the rapidly evolving LLMOps tooling landscape. You will thrive in this role if you have: Strong backend/systems engineering background, with experience building and operating production services with reliability and observability requirements. Experience designing and delivering shared platform or infrastructure components used by multiple teams. Strong production ownership: monitoring, alerting, incident response, debugging, and post-incident learning. Distributed systems fundamentals, including async workflows, idempotency, consistency tradeoffs, and designing for failure. Hands-on experience with LLM APIs or strong interest in learning their production failure modes: rate limits, context windows, multi-vendor routing, latency variance, and cost control. Security mindset for AI systems, including prompt injection risks, PII in logs, data leakage, and safe credential handling. Strong programming experience in either a JVM-based language or Python. We operate a polyglot platform with components written in both Kotlin and Python, and you’ll be expected to contribute to both. Clear communication and collaboration skills, especially when working with product teams and other engineers to turn ambiguous platform needs into practical solutions. This role is a good fit for you if: You are passionate about developer experience and get excited about being a force multiplier for engineering teams. You have moved past prototyping and have a deep understanding of the realities of LLMOps, data retrieval, prompt and context engineering, as well as model evaluation in production. You understand both the engineering and the data side of things, and are comfortable switching languages or technologies to achieve your goals. This role is not a good fit for you if: You are primarily interested in model research or algorithm development. This role is about building the tooling that enables product teams to ship AI features to production. You prefer building customer-facing features. Your key users will be other Pleo Engineers. You cannot explain AI trade-offs clearly to non-technical stakeholders. You will regularly work with Product Managers, Designers, and business leaders who need to understand what is and isn't possible. In your first 6 months at Pleo, you’ll: Develop a clear picture of how AI features are currently being built at Pleo and where the biggest infrastructure bottlenecks are. Take ownership of a core platform component such as the LLM gateway, RAG infrastructure, MCP gateway, or evaluation framework, and improve its reliability, observability, or developer experience. Deliver production-ready improvements with clear rollout plans, monitoring, and operational documentation. Partner with Applied AI Engineers and product teams to identify platform investments that would accelerate their work. Contribute to Pleo's internal standards for AI feature development: how we evaluate quality, manage prompts, and monitor production AI systems. We’re committed to helping you develop your career, whether that means taking on bigger projects, stepping into leadership, or acquiring new skills! Please note: We can hire on a remote, hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choice with a valid right to work. We are unable to offer visa sponsorship for this role. Your own Pleo card (no more out-of-pocket spending!) Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis We offer 25 days of holiday + your public holidays For our Team, we offer both hybrid and fully remote working options We use MyndUp to give our employees access to free mental health and well-being support with great success so far Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work We want to ensure you are set-up for success and understand what will be expected of you. If your application is successful, our interview process is as follows: Intro call: A 30-minute chat with our Talent Partner to discuss the role and your background. Technical screening: A 15 to 30 minute call with our Talent Partner to check your knowledge of key technical topics. System design interview: A 75-minute practical session with our engineers focusing on scoping and designing an AI feature. Live coding interview: A 75-minute practical session with our engineers focusing on implementing your solution. Hiring Manager interview: A 60-minute conversation to deep dive into your knowledge and experience. Final interview: A leadership interview focusing on your behavioural, communication and collaboration skills. Transparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success! CV writing and content: we receive a lot of CVs, and many of them are AI-generated. We love seeing people leverage AI—it’s a big focus for us internally too—but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light. What we're really looking for is the specific details of real impact that only you know from your previous experience. A top tip from us is to use the “Achieved X, as measured by Y, by doing Z” formula (credit: Laszlo Bock, ~2014) to give a really clear picture of what you’ve worked on. A final note: including links to your previous companies' websites is a huge help and allows us to truly understand your background! Application care: every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process. Profile to role fit: this is neither a research-driven nor a traditional data or software engineering role. We're looking for someone with proven experience building platforms or tooling for agentic AI. We expect senior-level engineers to be able to work fully autonomously on an entire product feature from design to implementation. English first. Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us. A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails. Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us. Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We’ll design a process that works for you. Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy _. Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role. Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Engineering Manager - Platform - Usage This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for a proven leader who enjoys guiding teams in solving complex workflow and systems problems, driving improvements in reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineering Managers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: • Manage and grow a distributed team of engineers, conducting regular 1:1s, providing consistent feedback, and supporting individual performance and career development., • Partner with product management and engineering leadership to shape the Usage squad's roadmap, strategy, and OKRs, ensuring alignment with overall company mission and customer impact., • Guide the team through the full project lifecycle, from early technical design and scoping to delivery and post-launch iteration, ensuring high-quality and timely outcomes within the Usage domain (e.g., billing engine, cost management and billing app, reconciliation systems)., • Act as a project manager, facilitating collaboration with Product, DealOps, GTM, Pricing and Monetization, Support, and adjacent AppCore squads to remove blockers and ensure coordinated delivery across service boundaries., • Foster a high-trust, security-first team culture that embraces thoughtful AI-assisted development practices to enhance engineering workflows and eliminate toil., • Contribute to hiring and talent acquisition efforts, partnering with People Ops to attract and retain a diverse group of engineers. What Makes You a Great Fit: • Experienced in people management, including conducting regular 1:1s, delivering candid feedback, and supporting career growth and performance conversations., • You are a leader who empowers engineers, focusing on setting clear direction, aligning on outcomes, and identifying risks early rather than providing task-level oversight., • Transparent and direct by default; you advocate clearly for your reports and proactively resolve ambiguity or conflicts, especially when priorities collide., • A strong communicator who thrives in a fully remote and globally distributed environment, comfortable collaborating asynchronously across time zones and cultures., • You take initiative and can move work forward in complex, systems-focused problem spaces, such as stateful systems, eventual consistency, and reconciliation loops. Requirements: • Minimum 2 years of experience managing software engineering teams., • Prior experience as an Individual Contributor (IC) in a related engineering role for at least 3 years., • A strong software engineering background, ideally including experience in backend systems (like Go), sufficient to credibly engage in technical design discussions and challenge the team toward strong decisions., • Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability., • Demonstrated ability to manage delivery across multiple concurrent projects, align stakeholders with competing priorities, and clearly communicate risks and timelines., • Comfortable working with engineering teams who have a strong sense of autonomy in their decision-making., • Deeply customer-focused, consistently grounding technical decisions in real-world user and business impact., • Comfort with AI-assisted tooling and an expectation that you are curious and comfortable integrating AI-powered tools into a team's workflow. Bonus Points For: • Experience with high-volume billing systems, usage metering, and customer-facing cost management applications (like CMAB)., • Practical experience implementing and automating complex pricing logic, promotions, discounts, rebilling, and usage forgiveness, while ensuring strong auditability., • Familiarity with cloud marketplace integrations (AWS, Azure, GCP) and compliance or system refactoring related to IT General Controls or Role-Based Access Control (RBAC)., • Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems., • Experience with Kubernetes control-plane patterns, operators, reconcilers, or desired-state systems., • Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)., • Experience contributing to or maintaining open source projects. Compensation & Rewards: In the UK, the Base compensation range for this role is GBP 103,000 - GBP 129,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We build Tempo, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: • Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes., • Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction., • Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on., • Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors., • Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You'll Be Doing: As a Staff Engineer on Tempo, you will set technical direction on the hardest problems in our roadmap and raise the bar across the team. • Lead multi-quarter technical initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements., • Own the architecture of core Tempo components: ingestion, storage, query, and metrics generation. Drive design reviews, make sharp trade-offs on performance, cost, and complexity, and document the “why” for the team., • Design APIs for humans and agents. Shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably., • Drive operational excellence. Own outcomes against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB) and push the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts., • Partner with Product and sibling teams. Work closely with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them., • Mentor engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team smarter than you found it., • Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning., • Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and help steer the project in the open. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-5.6, Claude Fable, Gemini Pro 3.1). Example problems you could work on: These are the kinds of projects landing in 2026. Any one of them is a Staff-sized problem: • Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant., • Autoscaling end to end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down., • Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads., • Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges., • Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise., • Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: • Technical leadership. A track record of leading complex, multi-quarter initiatives that spanned design, delivery, and operations, and made the teams around you better., • Deep systems experience. Substantial hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar., • Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship., • Strong Go, or a path to it. We write Tempo in Go. Deep experience in other systems languages (Rust, C, C++) translates well., • Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore., • Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate., • Leadership through writing and collaboration. You lead through design docs, reviews, and shipped code, not hierarchy. You communicate clearly in a fully remote, asynchronous environment. Bonus Points for: • Experience with tracing, OpenTelemetry, or large-scale observability systems., • Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents)., • Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads., • Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes., • Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses., • Open-source contribution or maintainership, and comfort engaging a community in the open., • Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab)., • Experience in a fully remote, globally distributed team. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 103,958 - GBP 124,750. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Cloud Security Engineer A highly reputable and market-leading financial corporation is currently hiring a Cloud Security Engineer who has recent experience in on-premises to cloud transformations within an established security team. The chosen Cloud Security Engineer will play a crucial role in the design/implementation of our client’s new technology estate. You must have demonstrable experience of security design principles & practices across cloud, storage, networking and RBCA coupled with monitoring, alerting and incident response to be considered for this position. This role is paying between £90,000 to £100,000 + 25% Bonus with hybrid working (3 day PW in office) to be based in Chatham or Wolverhampton. Our client is also open to consider candidates who require visa sponsorship on an individual basis only. Core responsibilities: • Assist with scoping, design and build of secure Azure cloud services to support the Modernisation programme and deliver a scalable and flexible cloud security capability to support and facilitate innovation for our clients new ecosystem., • Work with the Design & Delivery Lead to help define and deliver the high-level and low-level security objectives and designs for a project or programme, aligning to business and functional requirements., • Work with teams to implement secure systems and solutions through the application of regulations, policies, standards and procedures to meet user needs while managing business and security risks., • Develop, test, and deliver Security Policy as code for a variety of Public Cloud compute services and Container platforms leveraging native services., • Understand industry standard controls such as CIS/NIST/GDPR/ISO/CSA CCM/MCSB to deliver compliant solutions through appropriate adoption, configuration and management of key controls., • Deliver security work stream activities and tasks against the migration strategy and integration points for central security services to manage/monitor the cloud infrastructure., • Drive discussions and design decisions to deliver scalable and manageable cloud solutions aligned to security, performance, operational and cost constraints. Essential technical skills and experience, • Proven experience in Cloud Infrastructure Engineering/Platform Engineer/Security Engineer role, migrating and integrating cloud foundation services (preferably on MS Azure public cloud) is essential., • Proven experience with implementing secure core foundational services in a cloud infrastructure for AD, SecDevOps, Networking Services, at an enterprise level is essential., • Proven experience in SIEM & SOAR (security information and event management (SIEM) and security orchestration, automation, and response (SOAR). Experience with Rapid7 SIEM tooling is desirable., • Proven experience with the core foundational security services of cloud providers (preferably Azure or AWS equivalent for AD, Defender for Cloud, Azure Sentinel, AppGateway and APIM, Azure Identity Protection, PIM) is essential., • Proven experience with Provisioning Security policy as Code (IAC) tools such as Terraform, CloudFormation and adopting secure code practices and guidelines is essential., • Advanced understanding and use of scripting languages such as Python, Groovy, Go is essential., • Microsoft Azure Security Engineer Associate certification or AWS equivalent. Benefits Package:, • Visa sponsorship / £90 to100k / Up to 25% Bonus / Work from home options / Flexible working / 30 Days Holiday / Medical Cover / Life Cover / Pension (up to 8% employer contribution) Cloud Security Engineer

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. The Opportunity: The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale. In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply. What You’ll Be Doing: As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves: • Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure, • Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.), • Designing safe upgrade and rollout strategies at scale, • Improving observability, automation, and operational ergonomics, • Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance, • Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc., • Serving as a primary escalation point and on-call for relevant incidents, • Owning the relationship with all system vendors, including WarpStream Labs and others., • As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership. What Makes You a Great Fit: • Regular 1:1s with your manager and close collaboration with teammates across regions, • Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design, • Improving the diagnosability of core streaming and database systems in production, where possible., • Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure, • Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies, • Planning and executing safe upgrades and rollouts across dozens of production clusters, • Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy, • Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk, • Sharing best practices and distributed systems knowledge with partner teams, • Participating in incident response, from investigation through resolution and post-incident reviews (PIR) Requirements: • 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles., • Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra., • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Solid understanding of distributed systems design and large-scale system trade-offs., • Proficiency in at least one programming language (Go preferred, but not required)., • Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior., • Experience participating in blameless incident response and writing high-quality post-incident reviews., • Clear communicator who can collaborate across teams and work autonomously., • Curious, pragmatic, action-oriented, and kind (this is important!) Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Job Title: Data Engineer Location: UK Job Type: Full-time Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK’s most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. We are looking to fill the position of Data Engineer to help develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development lifecycle process as part of multi-functional Agile delivery teams focused on one or more products. Role: Design, build, and operate simple, repeatable ETL data pipelines within distributed processing environments and cloud platforms, as well as localized single-node processing environments. Develop and produce prototyped then productionized code that can be deployed across a range of ETL, data validation, and other data production processes. Develop understanding of the native tooling of one or more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans, operational outputs. Participate in development and maintenance of in-house code libraries. Undertake unit testing to support common code development. Review business requirements to ensure they are clear and robust, and transform requirements into reusable production-ready code and/or effective data models. Understand the key principles of database design and be able to resolve technical problems in databases, data processes, data products, and services as they occur. Initiate actions, monitor services, and identify trends to resolve problems. Apply correct techniques in normalizing data and building robust relational structures in database products. Undertake basic data analysis, for example, for data profiling, QA, or problem resolution. Support queries from end users on data quality issues affecting data production; communicate issues and blockers to develop solutions. Undertake source system analysis and data profiling to confirm data quality and ensure accurate metadata. Understand relevant data sources, tools, and systems. Work with experts to develop validation frameworks for both simple and complex data sources. Communicate with customers, for example, to update on progress or confirm requirements. Using a working knowledge of cloud data engineering tools in assisting with the development of data pipelines, products, and automation processes. Work with other team members in development of tool performance logging and monitoring. Work with other team members in applying engineering team and community best practice in data products and pipelines. Experience predicting and advising on technology changes in the engineering toolset(s) and platform(s) you work on. Work with the team in implementing the transition to modern data platforms including Data Warehouse, Lakehouse, across the data products, pipelines, and processes you are responsible for. Engage with other professional communities (Data Science, Architecture, etc.) to identify emerging and cross-community issues affecting your role and escalate as necessary. Describe technical, data, pipeline, and production issues to colleagues of different specialisms. Communicate within the team and across teams to monitor expectations around delivery of data engineering, products, and pipelines, blockers, priorities, and issues. Escalate issues and blockers in delivery proactively. Familiar with developing data pipelines and products for very large volume 'big data' series using a range of native engineering tools and practices and coding approaches. A working knowledge of engineering standards across a platform and native toolset. Experience implementing these standards in the day-to-day role and keeping outputs up-to-date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL. Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI. Enterprise-scale experience with ETL tools (Informatica and or similar). Experience of data modelling and transforming raw data into datasets and extracts. Experience of working in a large project /scale complex organisation and knowledge of migrating legacy capabilities. Experience in Agile. Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives. Experience of building team capability through role modelling, mentoring, and coaching. Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way. Ability to design, write, and operate ETL pipelines, in the context of distributed processing, applying coding, data, and documentation standards, in the language required by the business area. Understanding of the principles of data processing in a distributed and or cloud platform, and ability to use this understanding to ensure robust coding in a distributed or cloud environment. Able to write clean, efficient and well documented code for data processing tasks to a specification. Able to use Git for code version control to pull and push and review merge requests for team and own code. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level of a problem, for example, strategic, tactical or operational. Undertake data profiling and source system analysis for data evaluation, issue resolution or data standardisation. Use metadata repositories to complete complex tasks such as data and systems integration impact analysis. Good knowledge of database structures, practices, principles of database integrity etc. Basic knowledge of applying database principles and SQL coding across a range of platform database and data querying tools (i.e. SQL Server, Cloud SQL, Big Query, Hive, Athena etc.) Show an awareness of opportunities for innovation with new tools and uses of data. Experience in more than one of the following tools is required for Engineers engaging in BI development: Plotly, R Shiny, Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that can be used with internal and external stakeholders, and their impact. Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both. Able to explain and implement the concepts and principles of data modelling. Ability to create and run simple unit tests. Desired Qualifications Certifications in AWS, Azure, Databricks, or related technologies. Example _ Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. We are looking for a Staff Software Engineer - SRE to help us support our highest value Grafana Cloud customers by increasing the reliability of our Cloud databases that are based on Mimir, Loki, Tempo, and Pyroscope. We provide these databases as a SaaS product from AWS, GCP, and Azure across all regions. The SRE team is embedded within the Mimir, Loki, and Tempo squads and focuses on ensuring that Grafana Cloud’s database products deliver exceptional reliability for our highest-SLA customers. In this role, you will: • Partner closely with product engineering squads (embedded model), • Own production reliability for high-SLA and complex customer environments, • Design and implement automation to scale our reliability practices, • Ensuring our customers meet our SLO targets, • Define and evolve per-tenant SLOs and reliability models, • Proactively reduce SLO burn to prevent repeat incidents, • Serving as a primary escalation point and on-call for relevant incidents, • Lead customer-impacting incident response and post-incident reviews, • Contribute to design docs and code reviews, • Influence feature design to ensure production scalability and operability, • Build automation to eliminate toil where needed, • Improve alert quality and reduce noisy escalations We seek a staff software engineer operating at the intersection of customer needs, production systems, and product engineering. • 8+ years engineering experience, 4+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience., • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Strong experience with technical leadership, leading a team through projects, mentoring other engineers on the team and serving as a force-multiplier, • Experience operating multi-tenant systems in production, • Strong experience designing and implementing SLOs, • Experience with one or more programming languages (e.g. Go, Python, Java, etc), • Experience with Linux operating systems internals, and some knowledge of networking, cloud storage, and scaling., • Excellent problem-solving and troubleshooting skills., • Experience with calmly and actively participating in blame-free Incident Response, following up on actions, and writing high quality PIRs (Post Incident Reviews, a.k.a. post-mortem documents), • Ability to reason about performance, scaling, and failure modes, • Comfortable working within an engineering team where individuals are encouraged to have a strong sense of autonomy and self-direction., • Ability to partner deeply with product engineering teams, • We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!), • Regular 1:1s to with your manager and colleagues, • Reviewing and creating SLOs, proactively investigating ways in which we can further reduce budget burn for those SLOs, which can be self-directed or as the result of learnings from incidents, and may include improvements to monitoring, automation, increasing self-healing, auto-scaling, etc., • Improve observability of customers within their environments, • Designing and implementing solutions to ensure reliability and scalability of our environments can meet rapidly increasing demands, • Develop fault-tolerant design patterns ensuring that we are considering reliability at all stages of the service lifecycle., • Collaborating with our Engineering Leaders to help define and influence product strategy, roadmaps and technical designs, • Participate in PR review and collaborating with other engineers on their Design Docs, • Teach others about Site Reliability Engineering and communicate best practices to be applied early in development of new features and functionality, • Participate in Incident Response when applicable, including investigation through to resolution, PIR, and communication with customers via Bridge calls where necessary In the UK, the Base compensation range for this role is £103,958 - £124,750. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _.#LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises. We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year. Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development. This is a role for someone who wants to define what gets built, not just how it looks. You'll own product vision in 0-to-1 spaces, working at the frontier of what Poolside should build next, translating ambiguous problems into clear product direction, and prototyping fast to validate ideas before they become roadmap. You'll work closely with engineering and leadership, partnering tightly with our product design team to shape experiences that sit at the intersection of frontier AI and developer tooling. The problems here are genuinely hard and the surface area is wide. One day you're digging deep to understand how developers experience a new agentic workflow; the next you're building a proof-of-concept that changes the direction of a product. Your taste and judgment will be visible in what ships. YOUR MISSION To forge the product direction for Poolside's developer experience, defining what we build at the frontier of AI and software development. Own product vision in 0-to-1 spaces, defining what Poolside should build and translating ambiguous problems into clear, buildable direction. Lead design, experimentation, and proof-of-concepts that explore what's next for developer tools, feeding insight back into the product roadmap. Partner with Product Engineering to move ideas from concept to shipped product, working at both the strategic and the granular level. Prototype rapidly and validate early; you're as comfortable in code as you are in a design tool. Collaborate with designers and the wider design team to ensure product thinking is consistent and well-resourced across Poolside's surfaces. Shape how Poolside shows up externally as a product, including how developers first encounter our work. Strong product intuition with a history of defining what to build, not just how to build it. You've forged direction, not just executed on it. A genuine history of building with code: scripts, tools, personal projects shipped from scratch. You can speak concretely to what you built and why. Genuine familiarity with developer workflows. Version control, local environments, the command line, deployment pipelines. Not as a curiosity, but as your natural habitat. Deep experience designing for developer tools specifically, not general consumer or enterprise products. Strong visual craft. You produce polished, high-quality UI and can hold a high bar across the full product experience. Comfortable with rapid prototyping, research, and proof-of-concepts. You move fast and validate early. Highly autonomous: you set your own direction, bring others along on your thinking, and make good decisions in ambiguity. Intro call with one of our Designers Design interview with a Design Engineer (Product). Come with 1–2 projects you forged, not just executed Technical interview with a Product Engineer. Expect questions on how you build and think about developer workflows Team fit call with the People team Final interview Fully remote work & flexible hours 37 days/year of vacation & holidays Health insurance allowance for you & dependents 16 weeks of flexible, full-pay parental leave Well-being, always-be-learning & home office allowances Company-provided equipment Frequent team get togethers Diverse & inclusive people-first culture

About StarComplianceStarCompliance is on a mission to make compliance simple and easy. Trusted globally by enterprise financial institutions, the user-friendly STAR platform empowers organizations to achieve regulatory compliance while safeguarding their integrity and business reputations. Through a customizable, 360-degree view of employee activity, the STAR software enables firms to automate the detection and resolution of potential areas of conflict while streamlining daily workflows and increasing efficiency. Location: Candidates MUST be UK based and have right to work. We are seeking a highly skilled and pragmatic Site Reliability Engineer (SRE) to help lead our evolution from legacy single-tenant monoliths to modern, scalable, multi-tenant microservices. This is a pivotal role for our business, enabling faster delivery, improved reliability, and real scalability across our SaaS portfolio. While we’ve got a solid handle on infrastructure monitoring, we’re still in the early innings when it comes to application-level observability, autoscaling, and progressive delivery strategies (e.g., canary releases, blue/green deployments). That’s where you come in. You’ll work closely with Infrastructure, Architecture, Engineering, and Support teams to design, build, and evangelize the next generation of SRE practices and tools that ensure uptime, resiliency, and customer trust. • Champion Reliability by Design: Collaborate with architects and engineers to build resilient, fault-tolerant systems across our evolving cloud-native stack., • Observability Overhaul: Lead the charge on full-stack observability, leveraging modern APM tooling, meaningful SLOs/SLIs, and actionable alerts., • Scaling Systems: Develop and implement auto-scaling strategies, load testing plans, and capacity forecasting for multi-tenant environments., • Progressive Delivery: Help implement and automate deployment strategies such as canary releases, feature flags, and blue/green rollouts., • Incident Response: Create and refine on-call processes, incident response playbooks, and blameless post-mortem routines., • Monitoring & Tooling: Own and evolve our monitoring infrastructure, integrating metrics, logs, and traces into a cohesive ecosystem., • Developer Empowerment: Build reusable templates, dashboards, and platform tooling to empower dev teams to “shift left” on reliability., • Cross-functional Collaboration: Work hand-in-hand with Infrastructure, Architecture, Support, and Engineering teams to drive shared accountability for uptime and performance., • 5+ years in SRE, DevOps, or Production Engineering roles, ideally within a SaaS or cloud-native environment., • Deep experience with cloud platforms (preferably Azure or AWS), and Infrastructure-as-Code tools (e.g. Terraform)., • Hands-on experience with Azure DevOps is strongly preferred, as our CI/CD and project workflows are fully built around it., • Proficiency with observability tools such as New Relic, Datadog, Prometheus, or similar., • Strong understanding of software deployment strategies, CI/CD pipelines, and release engineering., • Ability to code in at least one modern scripting or systems language (e.g., Python,PowerShell, Go, Bash)., • Experience operating multi-tenant environments with an emphasis on security, performance, and cost optimization., • Excellent communicator who thrives in cross-functional settings and can influence engineering culture around reliability., • Experience in regulated industries (e.g., financial services, healthcare)., • Background with service mesh architectures, distributed tracing, and gRPC/GraphQL., • Familiarity with incident management platforms (e.g., PagerDuty, OpsGenie)., • Contributions to open-source SRE tooling or frameworks. StarCompliance Background Checks All positions require pre-employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information. To be eligible for employment with StarCompliance, candidates must undergo a rigorous background investigation with checks including, but not limited to, criminal record history, consumer credit, employment history, qualifications, and education checks. Equal Opportunity Employer Statement We prohibit discrimination and harassment of any kind based on race, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, gender identity or expression, marital/civil union/domestic partnership status, veteran status or any other protected characteristic as outlined by country, state, or local laws. This policy applies to all employment practices within our organisation, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. StarCompliance makes hiring decisions based solely on qualifications, merit, and business needs at the time. For more information, please request a copy of our Equal Opportunities Policy. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates in the UK, Spain, Germany or Sweden. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it. In this role, you will be part of the team that designs, builds, and scales our Cloud Observability product suite, providing customers with the ability to collect, visualize, analyze, and understand metrics and logs data from hundreds of cloud provider services. This includes the dashboards, alerts, documentation, and infrastructure while working closely with other teams to ensure seamless experiences. We also strive to incorporate OSS contributions in our work by contributing to projects such as Alloy, Prometheus, OpenTelemetry, and Beyla. The Observability department provides a core building block for customers using Grafana Cloud. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. We are looking for engineers that are passionate about communicating with data and providing seamless experiences for our customers to join our growing team! Engineers at Grafana also have the opportunity to contribute to Open Source communities. About Grafana Labs There are more than 950,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include two other open-source projects, Grafana Loki (for logs) and Grafana Tempo (for traces). At Grafana Labs, our engineers have a dedicated career path and do not have to become managers to progress in their career. Senior Software Engineers at Grafana have a large amount of experience across multiple areas. They are able to estimate, plan, coordinate and deliver large tasks spanning multiple systems. They actively coach and mentor other team members in their team and are able to identify and resolve issues with technology and product processes. Key Responsibilities You will bring your passion for observability and software engineering expertise to help us take our infrastructure monitoring capabilities within Grafana Cloud to the next level. This will include working with our Kubernetes monitoring and Cloud Provider observability solutions. • Design and implement high-quality, scalable integrations for various infrastructure components, databases, and applications, • Create middleware components, SDKs, and libraries that simplify development and maintenance of observability solutions, • When necessary, represent Grafana Labs in open source forums, working groups, and events, • Work with product teams, in addition to design and docs, to develop features that align with wider product strategy and customer needs, • Support the technical direction and vision of the team, contributing to strategic discussions and future development of observability solutions, • Work with other departments including Sales, Product, and Support teams to deliver a holistic product experience, • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, good communication skills, and transparency are a must. Requirements Minimum Qualifications: • Strong 5+ years of experience with at least one programming language. We use Go, but do not require candidates with Go experience. Long term experience in any major language (Python, .NET, Java, Rust, etc) with a willingness to learn Go is acceptable., • In-depth knowledge of at least one major cloud provider, including core services, APIs, identity and access models, networking, and operational patterns, • Experience with cloud-based software development and production systems, • Experience writing clean, maintainable, robust, and performant software, • Familiarity with observability tooling (e.g. Grafana, Prometheus, Loki, OpenTelemetry), • Experience driving projects from ideation to production., • Experience with microservices architecture and distributed systems, • Excellent problem-solving and debugging skills, • Experience participating in an on-call rotation and incident management Preferred Qualifications • Experience designing and building observability backends for various systems and applications, • Experience contributing to or maintaining open source projects, with evidence of successful pull requests and community collaboration, • Understanding of metrics collection, visualization, and alerting concepts What you’ll bring to the role At Grafana Labs, we define senior roles via the scope of their business impact more than via their expertise or their specific activities. So the most important thing we are looking for in an engineer is the ability to take ownership. You will need to drive technical implementations working with the upstream community and contribute to business conversations, helping shape the long-term strategy. • You have a passion for observability and like to share your knowledge by writing documentation and blog posts., • You love to engage with customers and help them out., • You have excellent communication skills., • You have relevant open source experience, ideally in the observability domain., • You are willing to become an active member of the OpenTelemetry and Prometheus communities., • You’re curious and you enjoy learning new programming languages and frameworks, setting up examples, and figuring out how things work., • You have a good understanding of typical production environments. Ideally you have been responsible for operating production services and organizing on-call., • You actively mentor other team members, identifying areas for focus and improvement. In the UK, the Base compensation range for this role is £91,755 - £110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

DevOps Engineer Salary: Up to £85,000 p/a dependent on experience Plus access to annual bonus Hours: Monday to Friday, 8.30am to 5.00pm Job role: This is an exciting time to join the UK’s largest private healthcare telemedicine company based in Hastings, East Sussex, who are expanding their IT Team due to organic growth. Joining a dynamic team focusing on supporting Medica’s transition to a cloud‑native technology landscape. Reporting to the Technical Director, this role is responsible for building and maintaining the automation, infrastructure, and secure deployment architecture that underpin Medica’s clinical and operational applications. The DevOps Engineer will work closely with software engineering, data engineering, and infrastructure teams to design secure, scalable, and highly available cloud environments, ensuring consistent and rapid software delivery. This position is central to improving performance, strengthening security, and accelerating delivery as Medica modernises its technology estate, ultimately helping to enhance the services provided to clinicians and improving patient outcomes. You will design and maintain secure, scalable CI/CD pipelines and implement Infrastructure as Code to ensure consistent, automated cloud environments. Working across Medica’s cloud‑native platforms—from container orchestration and networking to identity and monitoring—you’ll develop observability capabilities and support reliable deployment workflows. You’ll troubleshoot infrastructure and pipeline issues, embed security and compliance controls, and contribute to incident response and continual improvement. The role also involves creating clear operational documentation, championing DevOps and cloud best practices, supporting cost‑optimisation efforts, and collaborating with the Technical Director to shape Medica’s evolving cloud‑native standards and architecture. Who we are: Medica is the UK’s leading telemedicine provider, supporting over 50% of NHS trusts with specialist reporting services across the globe. With over 240 head office staff and continued growth, now is a great time to become part of our journey. We welcome applications from all backgrounds and communities to help us build inclusive teams and a diverse workforce. We offer flexible working arrangements to support work-life balance and encourage everyone to be themselves at work. Requirements: Strong experience in DevOps/Platform Engineering roles building CI/CD pipelines and operating production services (Azure DevOps, GitHub, BitBucket). Extensive hands‑on cloud experience – Microsoft Azure essential (IaaS/PaaS, networking, IAM, storage, key management, monitoring). Proficiency with IaC (Terraform, Ansible, ARM Templates, Bicep) and scripting languages (PowerShell, Bash, Python). Strong experience with containers and orchestration (Docker, Kubernetes/AKS, Serverless platforms, ACA) and image security practices. Observability tooling (e.g., Azure Monitor, Application Insights, Prometheus/Grafana), log aggregation, alert design. Proven track record implementing DevSecOps controls (SAST/DAST, dependency scanning, secrets management). Sound understanding of networking (VNETs/VPCs, routing, DNS, load balancing, private endpoints) and zero‑trust principles. Experience working in regulated environments with change management, audit trails, and secure SDLC. Ability to adapt to changing priorities and work effectively in a fast-paced environment. Core benefits for you: 🕘 Flexible and hybrid working ⚖️ A company culture that promotes work life balance 🌱 Commitment from employers to continued learning and development 🧠 Access to Employee Assistance Programme 💸 Annual bonus 🌍 Enhanced holiday allowance + bank holidays 🕊️ Group life assurance 👵 Pension 🎉 Social events 🤒 Sick pay 🚲 Cycle to work scheme 🌳 Access to free and regular personal development & wellbeing events We request all applicants to complete a confidential equalities monitoring form. The data collected will help us identify recruitment trends and address any concerns. More information about Medica and the work we do can be found here - _ We are a 2024 Circle Back Initiative Employer – we commit to respond to every applicant. Your application has been successfully submitted! _

About MoneyboxMoneybox is the award-winning app that helps you turn your money into something greater. We’ve brought saving, investing, home-buying, and retirement services all together into one simple app, so it’s easier than ever to achieve your goals and build wealth, whatever your starting point. Job BriefWe are looking for a Lead QA engineer to join our team, who enjoys working in a fast-paced environment. You will be working with a high calibre team to continuously develop new products/features. • This is a hands-on role and as a senior member of the QA team, you’ll help ensure the quality of Moneybox products, reporting into the Senior QA lead., • Seamlessly deliver numerous large and complex projects, acting as the sole QA on a squad, managing competing workstreams through strong prioritisation and time management., • Drive a "quality is everyone's responsibility" philosophy, influencing team members to prioritise collective success., • Collaborate with stakeholders to define testing and release strategies that effectively balance risk, speed, and quality., • Run engaging, cross-functional team meetings (e.g. amigos, retrospectives, go/no-go) that promote positive outcomes and actions., • Apply a risk-based approach to QA activities, focusing on high-value areas rather than testing for the sake of testing, leveraging AI tooling to support activities., • Identify and communicate issues, dependencies, and solutions to the squad and senior management, ensuring strong coordination and prioritisation., • Assess features for test automation suitability, collaborating with engineers on various test types and contributing to end-to-end automation., • Own QA metrics, perform root cause analysis, and champion continuous improvement in ways of working, processes, and tooling., • Proactively support team members through mentoring, coaching, and management to foster their career growth., • Be a visible leader and role model within the QA team, actively supporting departmental operations and promoting learning and sharing across the QA function., • Represent Moneybox externally in the tech community, bringing fresh new ideas back to the team., • You're enthusiastic about working in a fast-growing Fintech and dedicated to making a positive impact on personal wealth, with a strong interest in technology and QA developments., • You possess an excellent understanding of testing techniques and can effectively coach and mentor your team on their application., • You're comfortable in multi-disciplinary teams, working closely with developers, and demonstrate strong analytical, critical thinking, and problem-solving skills., • You have proven experience in designing and implementing comprehensive test plans and automation frameworks., • You exhibit strong organisational skills, meticulous attention to detail, and a pragmatic approach to bug reporting, understanding risk, impact, and dependencies., • At least 7 years of broad QA experience, with a number of years in a lead QA role, including a proven track record of mentoring and coaching., • Extensive backend system testing skills and understanding of programming languages, and API architectures., • Deep understanding of Mobile app, web, API, and database testing technologies and frameworks., • Experience with various automated testing techniques and a solid background in test data design and implementation strategies., • Proven ability to work effectively with senior leadership to build strong relationships and drive continuous improvement., • Opportunity to join a fast-growing, award-winning and super ambitious business., • Work with a friendly team of highly motivated individuals., • Be in an environment where you are listened to and can actually have an impact., • Thriving collaborative and inclusive company culture., • Competitive remuneration package., • Company shares, • Company pension scheme, • Hybrid working environment, • Home office furniture allowance, • Personal Annual Learning and Development budget, • Private Medical Insurance, • Health Cash Plan (cashback on visits to the dentist & opticians etc), • Cycle to work scheme, • Gympass subscription to a variety of gyms and wellbeing apps, • Enhanced parental pay & leave, • 25 days holiday + bank holidays with additional days added with length of service.Our Commitment to DE&I At Moneybox, we promote, support and celebrate inclusion, diversity and equity for all, so that everyone can bring their full selves to work. We believe that diversity drives innovation, and that if our team is representative of our community of customers, we can better support their needs. To ensure our recruitment processes provide an equal opportunity for all applicants to succeed, we encourage you to let us know if there are any adjustments that we can make. We are open-minded and always willing to go the extra mile to ensure all applicants can present their full self and potential. Visa Sponsorship:At this time we cannot offer visa sponsorship for this role and we cannot consider overseas applications. Working Policy:We have a hybrid policy that includes 2 days from our London office and 3 from home. If the role states it is either hybrid or remote candidates must be based within the UK.

Solutions Architect - Europe • Fantastic opportunity for an experienced Solutions Architect to work with enterprise customers across Europe., • Full-time, permanent role focused on solution design, technical delivery, and customer success., • Competitive salary (£62K - £80K) with equity (approx. 2,993-3,920 shares)., • Fully remote position - UK-based candidates preferred, ideally London or within commuting distance for on-site client visits., • Multiple hires planned - immediate availability or short notice period desirable. Who are the client? Our client is a rapidly scaling technology company that has achieved strong product-market fit and is now expanding with high velocity. Their platform acts as a "mission control" for engineering teams, enabling developers to work faster and more autonomously across the entire software development lifecycle. With a highly talented team and a bold mission to transform how software is created, they are empowering enterprises worldwide to succeed in a software-first world. What will you be doing? This is a customer-facing role for a technically strong Solutions Architect who can act as a trusted advisor to large enterprises. You'll work closely with engineering teams to design and implement solutions that accelerate development productivity. From onboarding and proof of value through to renewal and expansion, you'll drive adoption of the platform, ensure technical success, and influence product direction through customer feedback. What will you need? • Proven experience as a Solutions Architect, Pre-Sales Engineer, or Technical Consultant., • Strong background working with enterprise customers on complex technical challenges., • Ability to design, communicate, and implement scalable solutions., • Excellent problem-solving and troubleshooting skills., • Confident communicator with both technical and non-technical stakeholders., • UK-based (London preferred) with flexibility to visit customers on-site when required. What would be desirable? • Previous experience in developer tooling, cloud platforms, or DevOps solutions., • Track record of driving adoption and expansion of technical products., • Experience influencing product development through customer insights., • A proactive, collaborative mindset with a passion for scaling technology. To Apply… Please apply through this advert or send your CV directly. By applying, you consent to your application being processed and submitted to the client for this vacancy only. KEY SKILLS - Solutions Architect, Pre-Sales Engineer, Technical Consultant, Enterprise Architecture, Developer Productivity, Cloud, DevOps, Technical Advisory, Customer Success, SaaS, Remote, London

BJAK is building AI-powered automation systems that simplify complex insurance workflows- from quotations and policy issuance to claims and customer support. To make this possible, we need intuitive, fast and scalable user experiences. We're looking for an experienced Frontend Engineer based in the United Kingdom to help build the next generation of AI-powered web applications used by both customers and internal teams. This is a fully remote role where you'll collaborate closely with our global engineering team while working with product and operations teams based in Malaysia. Build exceptional frontend experiences that make complex AI-powered workflows feel simple. You'll develop modern web applications that help customers purchase insurance more easily while enabling internal teams to operate faster through intelligent automation. Build modern web applications using React, Next.js, TypeScript and modern frontend technologies. Develop customer-facing products alongside internal AI-powered operational tools. Translate product and UX requirements into fast, responsive and intuitive interfaces. Integrate frontend applications with backend APIs and AI services. Improve application performance, scalability and reliability. Build reusable components and maintain a scalable frontend architecture. Participate in code reviews and contribute to engineering best practices. Collaborate closely with product managers, designers, backend engineers and QA throughout the development lifecycle. Help shape technical decisions and continuously improve our frontend stack. Bachelor's degree in Computer Science, Software Engineering or a related discipline, or equivalent industry experience. Proven experience building production-grade web applications. Strong experience with React and TypeScript. Experience with modern frameworks such as Next.js (or similar frameworks like Vue or Angular). Solid understanding of HTML5, CSS3 and responsive web development. Experience consuming REST APIs. Strong understanding of component-based architecture and frontend application design. Experience optimising frontend performance and debugging production applications. Familiarity with Git and modern software development workflows. Comfortable working within CI/CD environments. Strong problem-solving skills and attention to detail. Excellent communication skills and ability to work effectively in a distributed team. Comfortable working in a fast-moving, product-focused environment. Experience building AI products or AI-enabled user experiences. Experience with workflow automation or SaaS platforms. Experience with Next.js, Vite or modern frontend tooling. Familiarity with Node.js or Python. Experience with Playwright, Cypress, Jest or Vitest. Knowledge of authentication, authorisation and web security. Experience with Redux, Zustand or similar state management libraries. Contributions to open-source projects or active participation in developer communities. Think beyond simply implementing designs. Care deeply about user experience, performance and usability. Take ownership from idea through production. Write clean, maintainable and scalable code. Balance engineering quality with execution speed. Enjoy solving complex technical and product challenges. Want to build AI products with measurable business impact. Prefer highly structured environments with detailed specifications for every task. Focus only on writing code without understanding user problems. Avoid ownership beyond implementation. Are uncomfortable working in a fast-paced startup where priorities evolve quickly. You'll thrive if you can: Deliver fast, intuitive and reliable frontend experiences. Simplify complex workflows through thoughtful product design. Build scalable frontend architecture that supports rapid growth. Maintain high engineering standards while shipping quickly. Become a trusted technical partner across engineering, product and operations. Build AI Products – Work on cutting-edge AI and automation systems that solve real business problems. Global Engineering Team – Collaborate with experienced engineers and cross-functional teams across multiple countries. Fully Remote – Work remotely from UK while collaborating with our Malaysia-based teams. International Exposure – Gain experience building products used across Southeast Asia and work with globally distributed teams. Learning & Development Budget – Receive support for technical courses, certifications, conferences and continuous learning. Career Growth – Fast career progression with opportunities to take ownership of impactful projects. Innovative Challenges – Solve large-scale engineering problems in a high-growth technology company. Modern Engineering Culture – Code reviews, knowledge sharing, continuous improvement and engineering excellence. Competitive Compensation – Attractive salary package based on experience and performance. We assess culture, working style and frontend execution. The process usually includes application review, two interviews and a technical task or code review.

Coach – Applied AI Engineering (Level 6) | Machine Learning Remote | National travel required Corndel is a multi award‑winning UK training provider delivering high‑quality management and technology programmes with leading organisations. We’re growing fast and are passionate about transformational learning that empowers people to be their professional best. The Role We’re looking for an Applied AI Engineering Coach (Level 6) to support apprentices on our AI Engineer / Machine Learning apprenticeship programme. This role suits an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who enjoys coaching others and enabling the responsible application of AI in real business environments. You’ll combine strong technical expertise with a coaching mindset—helping learners apply AI confidently, ethically, and effectively at work. What You’ll Do Coach and mentor a caseload of Level 6 AI Engineering apprentices Deliver engaging 1:1 coaching, workshops, and group learning Support learners across the full machine learning lifecycle, from problem scoping to deployment and monitoring Guide learners through End Point Assessment (EPA) and portfolio development Promote responsible AI, ethics, security, and governance Collaborate with employers and internal teams to ensure high‑quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‑on experience with production ML systems Strong Python skills and experience with tools such as: scikit‑learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face / generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‑driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise to make a meaningful impact through education. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including DBS Disclosure. For more information contact _

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems. Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. As a Staff Engineer, you will partner with the engineering leadership to help set technical direction and serve as a guide and mentor as the team grows and matures Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (peferred) Python Proficiency: Experience with Python for AI prototyping and tooling (prefered) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) 8+ years of directly applicable experience Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience Integrate into our dynamic AI engineering team building containerized agent infrastructure Deep dive into cagent's architecture and our containerized agent deployment roadmap Contribute your first enhancements to cagent with the help of your team Understand our technical stack and begin collaborating with sister AI teams Lead significant features or improvements to cagent and our containerized agent platform Enhance agent deployment capabilities and container-based orchestration patterns Collaborate with the open-source community on cagent development Help other new team members onboard Regularly interact with internal stakeholders and analyze user feedback Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Continue to help grow the team and develop efficient agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise-grade containerized AI system architecture and deployment Shape the future direction of cagent and Docker's agent ecosystem Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

At RemoteStar, we're currently hiring for one of our clients based in Houston, TX. Years of experience: 3 to 5 years Location: USA About Client: A fast-growing US-based SaaS company is transforming how energy firms manage operations. Their end-to-end ERP platform streamlines field data, production, finance, land, and compliance, delivering real-time insights and operational efficiency. With a strong client base and innovative tech, they’re redefining digital transformation in the energy and utilities sector. You’ll design and implement AI-driven functionality that improves automation and user experience. This includes leveraging LLMs, machine learning models, and modern AI tooling within a production SaaS environment. This is a hands-on role for someone who can move quickly, make pragmatic decisions, and bring AI concepts into real, scalable product features. Responsibilities • Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots) • Integrate LLMs and/or ML models into existing services and workflows, • Evaluate, select, and optimize AI tools, APIs, and frameworks for production use, • Collaborate with Product to translate business problems into AI-driven solutions, • Build and maintain scalable backend services to support AI functionality, • Profile, test, and optimize performance of AI-integrated systems, • Ensure reliability, security, and cost-efficiency of AI components in production, • Contribute to architecture decisions around AI integration and system design, • Partner with engineering teams to embed AI into existing applications without degrading stability Requirements • 3+ years of experience as a software engineer in a SaaS or cloud-based environment, • Strong backend engineering experience (RoR and/or Golang preferred), • Experience integrating APIs and working within distributed systems, • Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar), • Experience building or integrating AI-powered features into applications (not just experimentation) • Strong understanding of data flow, system design, and performance optimization, • Experience with relational databases (SQL Server or similar), • Familiarity with microservices architecture, Kubernetes, and CI/CD pipelines, • Experience deploying applications in Azure or similar cloud environments, • Strong problem-solving skills with ability to work in ambiguous, fast-moving environments, • Builder mindset—someone who can take an idea and turn it into a working feature quickly, • Pragmatic approach to AI (focus on value, not hype), • Ability to work independently in a contract environment while collaborating closely with internal teams • Strong communication skills and ability to explain AI concepts to non-technical stakeholders Preferred • Experience with prompt engineering, embeddings, or retrieval-augmented generation (RAG) • Exposure to model evaluation, fine-tuning, or AI performance monitoring, • Experience with event-driven architectures or real-time data processing, • Background in energy, fintech, or other complex data-driven industries

Location: Remote (United Kingdom) Salary: £55,000–£70,000 DOE, with room to grow as the company grows Contract: Full-time, 40 hours per week Reports to: Engineering Leadership You must already have the right to work in the UK, as we're unable to sponsor visas for this role. About the Role We're looking for a Senior DevOps & Platform Engineer to join our engineering team and take technical ownership of our cloud platform, infrastructure and operational tooling. You'll work alongside our software engineers to build, maintain and improve the AWS and Kubernetes platform that powers OpsPilot, while continuing to evolve our CI/CD pipelines, observability platform, security controls and compliance processes. This is a hands-on engineering role. You'll combine platform engineering, infrastructure automation and software development, helping to create a reliable, secure and scalable platform that enables the whole engineering team to deliver software with confidence. You'll be trusted to shape technical standards, improve developer experience through automation, and ensure our platform continues to support both our engineers and our customers. Ideas carry the same weight here regardless of who they come from or how long they've been with the company. You'll be judged on the strength of your thinking, collaboration and engineering decisions rather than your title. Success in this role will be measured by the reliability, security and maintainability of our platform, the quality of the engineering practices you help establish, and your ability to work collaboratively across the team. About OpsPilot OpsPilot is an AI-powered observability and operational intelligence platform, helping engineering and operations teams detect, understand and resolve production issues faster while increasingly automating operational workflows. As a team, we build and operate the same kind of platform we sell. The operational challenges we solve internally often become the next capabilities we deliver to customers, giving every engineer the opportunity to directly influence the product. Key Responsibilities Platform Engineering • Own and maintain our AWS and Kubernetes platform., • Develop and maintain infrastructure using OpenTofu / Terraform., • Improve our CI/CD pipelines and deployment automation., • Maintain and evolve our observability platform., • Define and maintain engineering standards for infrastructure, deployments and platform operations., • Monitor cloud costs and identify opportunities for optimisation. Engineering Collaboration • Work closely with software engineers to improve platform capabilities and developer experience., • Build tooling and automation that improves developer experience and engineering productivity., • Share knowledge and provide guidance on infrastructure, cloud technologies and operational best practices., • Help establish practical engineering standards that support reliable software delivery. Security & Compliance • Own and maintain our SOC 2 compliance programme., • Improve security controls and engineering best practices., • Work with the wider engineering team to ensure compliance activities become part of normal engineering workflows. Product Engineering • Contribute to technical design and architecture., • Develop internal platform capabilities and customer-facing features for OpsPilot., • Use AI-assisted development and automation where it improves engineering outcomes. Skills & Experience Essential • Around 4+ years' relevant experience in DevOps, Platform Engineering, SRE, Cloud Infrastructure or a closely related role. We're far more interested in your approach and trajectory than a long CV, so don't be put off if you're towards the lower end of that range., • A track record of helping development teams adopt new practices or ways of working. This matters more to us than any individual technology and is something we'll explore as much in the interview as on your CV., • Able to influence engineering practices through collaboration, technical leadership and strong communication rather than formal authority., • Strong experience with AWS and Kubernetes in production., • Experience with Infrastructure as Code (IaC) principles and practices., • Experience developing production software, not just operating it., • CI/CD and infrastructure automation., • Experience working within production SaaS environments. Desirable • Experience with OpenTofu or Terraform., • Experience with SOC 2 or ISO 27001, ideally including coordinating or running audits., • Experience with the Grafana LGTM stack or similar observability platforms., • Experience working with multi-tenant SaaS platforms., • AI-assisted development or prompt engineering. More important than any individual technology is how you approach engineering. We're looking for someone who enjoys solving problems properly, improving systems rather than simply maintaining them, and leaving both the platform and the engineering team in a better place than they found them. If that sounds like you, we'd encourage you to apply even if you don't meet every technical requirement. Our Tech Stack Cloud & Platform: AWS, Kubernetes (EKS), Docker Infrastructure & CI/CD: OpenTofu, Terraform, GitHub, GitLab Observability: OpenTelemetry, Grafana, Loki, Tempo, Mimir Development: Go, Python, Next.js AI Tooling: Claude, Gemini, used day to day throughout our engineering workflows. What We Offer • Fully remote within the UK., • Flexible working hours., • A small engineering team of six to eight developers where you'll have genuine ownership and influence., • A modern cloud-native technology stack., • AI integrated into day-to-day engineering workflows., • Minimal bureaucracy and a flat engineering structure. Our Interview Process Our interview process is straightforward, usually consisting of two or three conversations with no technical coding tests. We're far more interested in how you think, communicate and approach engineering problems than how quickly you can complete an artificial coding exercise. If this sounds like the kind of challenge you're looking for, we'd love to hear from you.