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Trainee AI Engineer - No Experience Needed! \n Ready to launch a future-proof career in AI - even if you have zero experience? \n We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. \n Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. \n How it works - your journey to AI successStep 1: Discover AI \n Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. \n Step 2: Full-Stack AI Mastery \n Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. \n Step 3: Get Certified \n Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. \n Step 4: Real-World Projects \n Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. \n Your guaranteed future \n After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. \n We guarantee a job offer upon completion or 100% of your course fees refunded. \n We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. \n Ready to future-proof your career? \n If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps.

Trainee AI Engineer – No Experience Needed \n Future-proof your career in Artificial Intelligence – starting today. \n Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. \n Train online at your own pace and land your first AI Engineer role in 1-3 months. \n Please note this is a training course and fees apply \n Job guaranteed - complete the programme and get a job or get your money back. \n Our candidates earn £28,000-£45,000. \n \n Why AI? \n AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. \n The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. \n \n How It Works \n Step 1 – AI Engineering Fundamentals \n Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. \n Step 2 – Data Fundamentals \n Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. \n Step 3 – Notebooks & IDEs \n Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. \n Step 4 – Python Programming \n Master Python, covering everything from the basics to object-oriented programming (OOP). \n Step 5 – Python Streamlit Project \n Apply your Python skills by building a car price prediction app using Python and Streamlit. \n Step 6 – Python for Data \n Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. \n Step 7 – AI Sentiment Analysis Project \n Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. \n Step 8 – AI Prompt Engineering \n Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. \n Step 9 – Retrieval-Augmented Generation (RAG) \n Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. \n Step 10 – AI Specialised Customer Service Chatbot Project \n Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. \n Step 11 – Machine Learning Fundamentals \n Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. \n Step 12 – Machine Learning Project \n Put your machine learning knowledge into practice with a hands-on project. \n Step 13 – AI & Data Ethics \n Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. \n Step 14 – Oral Exam \n Complete a virtual oral exam to assess your understanding and ability to apply your learning. \n Step 15 – AWS Certified Cloud Practitioner \n Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. \n \n What You Get \n · 100% online, self-paced training \n · Microsoft AI-900 certification included \n · 1-to-1 tutor and recruitment support \n · Real-world project experience \n · Job guarantee – get a job or your money back \n · Starting salary of £28,000–£45,000 \n \n We Get You Hired \n We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. \n Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. \n We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. \n "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London \n \n Ready to Start? \n If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. \n Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. \n

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

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 position. We are considering candidates in Germany, Ireland, Sweden, Spain and the UK only. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business via general data analytics. Our goal is to make Grafana the single best place where humans and AI agents understand and act on data from across the enterprise. We build systems that help users make sense of their sea of data through AI-driven features in use cases like product analytics and sales data. These capabilities lower the barrier of domain expertise and surface meaningful signals from messy data. The 2H team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. As part of our skunkworks initiative, you'll wear multiple hats and won't rely on cross-functional teams that typically support other teams inside Grafana Labs engineering. You will design, develop, test, and ship AI-powered features that can manage dealing with large datasets, while also expanding the capabilities of analytics-focused AI agents to assist users with information retrieval. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You’ll Be Doing: • Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets., • Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for the data engineering lifecycle., • Collaborate: Work with the rest of the team to shape AI-driven product features, including the integration of agentic components with internal tools like Slack and alerting systems while engaging with internal data teams for dogfooding., • Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows., • Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams., • Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: • Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision., • AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory., • Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset., • Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined., • Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: • Experience with LLMs, context engineering, and building applications powered by GenAI., • Proven track record of delivering software that made it into production and is actively used by users., • Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure)., • Experience using observability tools to understand and troubleshoot system behavior. Bonus Points For: • Experience building or working with agent frameworks or multi‑agent workflows., • Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks), • Experience building tools for data engineering. 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 .

Please note this role is UK only. We are KOPE and we are dedicated to revolutionising how we design and construct the build environment KOPE is the only purpose-built software platform for offsite construction. We enable the transition from traditional construction by integrating offsite processes and products. We instantly apply real-world products directly to design models, allowing the worlds of design and manufacturing to come together as one. We are building a better future. Join us. The Role We are seeking a highly skilled DevOps Engineer to design, build, and maintain secure, scalable, and resilient cloud infrastructure. This role combines operational efficiency with a strong security mindset, ensuring that our platforms are reliable, compliant, and continuously improving. You will play a key role in shaping our cloud strategy, enhancing our CI/CD capabilities, and embedding security best practices throughout the development lifecycle. Responsibilities • Design, implement, and manage scalable and highly available cloud infrastructure in Microsoft Azure, • Build and maintain disaster recovery (DR) and failover strategies to ensure business continuity, • Develop and maintain Infrastructure as Code using Pulumi (existing knowledge of Terraform or similar also acceptable), • Ensure infrastructure is version-controlled, reusable, and aligned with best practices, • Maintain and enhance existing pipelines in Azure DevOps, • Design and implement modern CI/CD workflows to improve build, test, and deployment processes, • Evaluate and lead potential migration to more mature or scalable tooling platforms, • Integrate security practices into all stages of the development and deployment lifecycle, • Manage and optimise vulnerability scanning tools and processes, • Analyse and prioritise security findings, working with teams to remediate risks, • Act as the primary liaison for external penetration testing providers and internal stakeholders, • Ensure compliance with security standards and organisational policies, • Strong experience with Microsoft Azure cloud services and architecture, • Proven experience with Infrastructure as Code (preferably Pulumi, ideally with C#), • Hands-on experience with CI/CD tools (Azure DevOps and at least one other, E.G Jenkins, Teamcity, Github actions, Octopus Deploy etc), • Solid understanding of cloud security principles and DevSecOps practices, • Experience with vulnerability management tools and processes, • Familiarity with disaster recovery planning and implementation Desirable Skills • Experience migrating CI/CD platforms or modernising build systems, • Knowledge of containerisation and orchestration (e.g., Docker, Kubernetes), • Familiarity with monitoring and observability tools, • Understanding of compliance frameworks (e.g., ISO 27001, SOC 2), • Experience and understanding of the changing nature of AI involvement in this area and how to employ it, • Remote first, • Flexible working style, • Relaxed and fun culture, • Greenfield development with no legacy apps, • Autonomy & responsibility encouraged, • Generous holiday allowance - 23 days paid holiday plus public and bank holidays, • Aviva Health Insurance, • Winter leave – the office closes between Christmas eve and 1st January (inclusive) this is in addition to your personal annual leave, • All-company in person events, • Generous maternity, paternity and parental leave policy

Title: Software Engineer Company: AI/ML R&D Location: United Kingdom (Remote, unless visa sponsored) Pay: Up to £100,000 Company: The AI R&D arm of a major chip subsidiary are looking for a Software Engineer to join the AI Kernel team. Comprised of a team of elite global technical experts in Compiler, AI and GPU research, you will work on some of most cutting edge developments in the AI acceleration world - some of which are so advanced they still years from being made public. Contributing significantly to the open-source community, you will make an impact on the wider tech world. Role: This position is best described as an AI Kernel / GPU Kernel Engineer position. You will make a significant impact on the business by owning the design and implementation of novel AI Kernels for deep learning operations. You will optimise hardware accelerators in collaboration with deep learning researchers, translating their high-level models into low-level, high-performance code. About you: • 3+ years' experience in GPU development, • Experience developing GPU/AI Kernels, • Experience engineering for AI/ML workloads, • Experience with any of: CUDA, OpenCL, HIP, SYCL, • Knowledge of deep learning algorithms, • Interested in optimising tough linear algebra equations, • Knowledge of AI framework internals (PyTorch, TensorFlow, ONNX etc) Full details are available. Please don't hesitate to get in touch with max @platform-recruitment. com to learn more.

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.

Our mission is to help dental and veterinary clinics make recurring payments as simple as paying by card. We want to make memberships (Plans) and patient finance seamless by ‘combining’ workflows with cards and tapping existing patient data. There are two exciting trends affecting the primary care sector right now. • We believe all businesses are becoming internet businesses. Many clinics now actively ‘push’ online bookings and explore the benefits to handle phone calls with AI agents 24/7., • We believe all revenue is moving towards monthly payments. People pay for more and more ‘stuff’ with a subscription, from cars to music. Dentists and vets are well positioned to benefit due to the strong, recurring relationships with patients. Today, we support over 5,000 dental practices across the UK. 100 more join our platform every month. Tabeo is the dominant market leader for patient finance and seeks to be the same for plans in 3 years. Tabeo is profitable. We seek to grow revenue by 50-60% per year and top £30 million per year in 2028. We believe in a remote first approach to work and equip teams with perks and tools so they can thrive. However, we all come together 2x per year for our amazing ‘Team Weeks’. We previously met in Dubai, Lisbon, London and Athens. Next is a surprise! About the role: We’re looking for an experienced backend engineer to join us! We currently have two cross-functional product teams. We’re ambitious, and have many interesting strategic and technical challenges ahead of us, including: • Working towards our multi-product strategy as we scale our newest product,_, • Expanding our target audience to include other primary healthcare providers (like vets and hearing specialists) and other regions/countries Our legacy system has supported us for 8 years and enabled us to reach >10k dentists and create a sustainable, profitable business as we rapidly scale further. You should expect to play a key role in our engineering team: We typically use the following tools and technologies: • Go to write our application code, • Google Cloud and AWS for infrastructure, • Confluent Kafka for our events handling, • Serverless technologies in AWS e.g. API GW, Lambda, EventBridge, DynamoDB, Docker for our new infrastructure, • Postgres for our databases, • Our frontend uses Javascript and TypeScript and is hosted on Vercel Our interview process includes: You’ll start by having an initial call with our recruiter. From there, the process has three main stages: • A take home task (should take no more than 2 hours) or provide a sample from a public github we can discuss, • A technical interview with our engineering team, • A behavioural interview with our product team If we extend you an offer, we’ll also arrange for you to meet Paul, our CEO, where you can ask any outstanding questions you have about Tabeo. You should apply if: • You have strong experience working on a Go backend of a technology product, particularly if you’ve worked with Go or in fintech before, • You’re comfortable working with a DevOps mentality of “you build it, you run it”, • You have a product mindset: you care about customer outcomes and you want to make data-informed decisions, • You’re comfortable leading on projects that are large in scope, ambiguous, or not well defined, • You’re the kind of person that cares about their team, and works to continuously improve culture, processes and communication. Competitive salary Employee share options £2,000 per annual CPD package to be used at your discretion Full kit for home office Health insurance and life assurance (including dental and optical) for UK staff Company trips 24 days holiday annually, plus a day off on your birthday Extended parental leave Contributing pension scheme for UK staff We seek a fully remote candidate from the UK or anywhere GMT +/- 3

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

Junior AI Engineer Our client is a rapidly growing tech-driven company based in central Manchester, leveraging artificial intelligence to build smarter, more efficient solutions across their digital platforms. With recent investment and a growing data team, they're looking to bring on a Junior AI Engineer to support the development and deployment of scalable AI applications. This is a fantastic opportunity for a recent graduate or early-career AI enthusiast to work in a collaborative environment with experienced engineers and data scientists. The successful candidate will assist in designing, training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities • Collaborate with senior engineers and data scientists to build ML/AI models., • Perform data wrangling, cleaning, and feature engineering on varied datasets., • Help deploy machine learning pipelines and support integration into production., • Evaluate model performance and suggest improvements., • Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: • Degree in Computer Science, Artificial Intelligence, Data Science, or a related field., • Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow or PyTorch., • Basic understanding of machine learning algorithms and model evaluation techniques., • Strong analytical and communication skills., • Comfortable working in a collaborative environment and taking feedback. Desirable: • MSc in a relevant discipline., • Exposure to NLP, computer vision, or recommendation systems., • Familiarity with cloud services (AWS, GCP, or Azure)., • Experience with Git and modern development practices., • Interest in deploying models into real-world applications. What’s on Offer • Competitive salary with room for growth., • Hybrid working model – 2 days a week in their modern Manchester office., • Mentorship and structured development plan., • Access to cutting-edge projects and tools., • 25 days annual leave plus bank holidays, pension scheme, and more. Interested? Please Click Apply Now! Junior AI Engineer

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Senior Backend Engineer - Casino UX Company Description: Midnite - Series C betting platform backed by $75M+ from Raine Group and Makers Fund. Job Description: Join the Casino UX team to build the high-concurrency backend systems powering a modern betting experience. You will design RESTful APIs, integrate external partners, and scale services on AWS to handle real-time traffic spikes. This is a critical role in a fast-growing squad where your architectural decisions directly impact millions of fans. Location: Remote, UK Why this role is remarkable: Significant scale and impact: join a Series C company that grew 10x in the past year, offering the chance to shape architecture at a critical inflection point. Modern engineering culture: work in a high-autonomy environment with daily deploys, no legacy code, and a tech-first approach to a traditional industry. Exceptional backing: join a top-tier team supported by $75M+ in funding from premier investors like The Raine Group, Play Ventures, and Makers Fund. What you will do: Design and maintain robust backend services and RESTful APIs using Python, Flask, and PostgreSQL to power mobile and web applications. Collaborate in a cross-functional squad with product, design, and trading experts to deliver immersive, real-time gaming features. Own systems end-to-end, from architectural decision-making and technical documentation to monitoring and scaling infrastructure using Terraform and AWS. The ideal candidate: Has 5+ years of professional backend engineering experience with a strong proficiency in Python or another major backend language. Demonstrates a solid understanding of relational databases like PostgreSQL and cloud infrastructure, specifically AWS services like SQS and S3. Thrives in fast-paced, agile environments and enjoys mentoring junior engineers while contributing to high-level technical and architectural discussions. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Technical Solutions Engineer / IT Support Engineer The COMPANY With over 20 years of experience our Client are pioneers in AI-powered digital pathology software and services. They are the acknowledged global leaders in supplying this specialist software to the life sciences sector, allowing them to analyse and interpret slide images. The ROLE Due to an internal promotion they now require a Technical Solutions Engineer / IT Support Engineer to join their team. Working from home the Technical Solutions Engineer will be responsible for configuring and installing my Clients software for their customers. Working from home the Technical Solutions Engineer will; • Handle software-related requests, • Analyse software related issues and propose solutions, • Troubleshoot software, • Identify root causes of software problems, • Conduct software testing and installation, • Troubleshoots IT related issues, • Manage software and database migrations, • Advise customers on hardware and software configurations and implementation, • Develop customer relationships through professional and dependable interactions The PERSON The right Technical Solutions Engineer / IT Support Engineer candidate will be an intelligent and dynamic individual who wants to develop their career further within this progressive organisation; • Experience as an IT engineer, Technical Solutions Engineer, Application Support Engineer, etc., • Scripting knowledge, • Comprehensive understanding of Microsoft tools and application environments, • Networking knowledge, • Strong communication, organization, problem-solving, and diagnostic skills, • At ease with showcasing solutions to various audiences, including engineers, developers, architects, IT managers, and executives, • Ability to work independently and take ownership of projects Salary: £42,000 Starting salary PACKAGE includes; Bonus Pension Income protection Etc. Location: Working from home, living anywhere in the UK. Suitable living locations include: Cambridge Peterborough Nottingham Northampton Leicester Birmingham Leeds Sheffield Manchester Liverpool Bristol Ipswich Coventry Wolverhampton Edinburgh Glasgow London Alternative Titles: Software Engineer, IT Solutions Engineer, Technical Software Engineer, IT Engineer, Applications Engineer, Application Support Engineer Mana Resourcing is a specialist recruitment company working within the Engineering, Sales, IT and Commercial sectors. We are established to service and support the recruitment requirements of modern businesses and candidates alike. INAND1

Lead AI Engineer – Intelligent Agents (Audio Focus) Are you ready to shape the next frontier of AI-powered audio experiences? Our client is launching an AI Studio to transform how we deliver curated music and intelligent audio services to businesses across the globe. We're looking for a forward-thinking Lead AI Engineer to lead the development of intelligent agents that supercharge our music curation, content ingestion, and customer service capabilities. This is your chance to combine cutting-edge AI innovation with the creativity of commercial audio - creating tools that augment human expertise, not replace it. What You’ll Do AI Agent Development • Design and build AI agents using Python and frameworks like OpenAI Agents SDK, LangChain, AutoGen, and Google ADK, • Create multi-agent orchestration systems for complex workflows (e.g., music curation, content analysis, scheduling), • Integrate multimodal AI models, including voice synthesis and music understanding Audio Technology Integration • Work with libraries such as LibROSA and PyDub to enable audio analysis and processing, • Develop tools for BPM detection, genre classification, energy and mood mapping, • Create systems for automated content compliance and rights management Platform Engineering • Build scalable AI platforms that interface with our music management systems, • Develop APIs and edge AI capabilities for real-time audio delivery in retail environments, • Establish performance metrics to evaluate AI agent outcomes and business impact Innovation Leadership • Lead generative AI experimentation in music and voice, • Evaluate emerging AI trends for commercial audio application, • Mentor junior engineers and share best practices in AI agent development Cross-Functional Collaboration • Translate business needs into intelligent, scalable AI solutions, • Work closely with music curators and product teams to align technology with creativity, • Present AI initiatives and outcomes to internal and external stakeholders Essential • Degree in Computer Science, Engineering, or related field (or equivalent experience), • 1+ years of hands-on AI agent development (multi-agent systems a plus), • Strong Python programming skills and experience with modern AI/ML frameworks, • Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools, • Solid understanding of audio processing and music tech, • Proven ability to build and integrate APIs and scalable systems, • Experience identifying AI use cases and translating them into business value Preferred • Experience with LibROSA, Essentia, or other audio analysis libraries, • Knowledge of computational musicology and MIR, • Familiarity with semantic search, vector databases, and explainable AI, • Understanding of music licensing and rights management, • Background in retail tech or B2B SaaS is a plus What We Offer • A unique opportunity to shape the future of AI in music and audio tech, • Work alongside industry-leading music curators and audio professionals, • Access to extensive music libraries and real-world deployment environments, • A creative, collaborative culture that values innovation and integrity Ready to lead the AI audio revolution? Interested? Please Click Apply Now!

AI Engineer - £60,000 - Remote My client, a Microsoft partner, is looking for a AI/ ML Engineer to join their rapidly growing Data and AI team. This is a remote position as the client values work life balance and flexibility. In this role you will utilise the latest AI technologies including Machine Learning, Gen AI and Open AI whilst working on various different projects. You will collaborate with clients to understand their business needs and provide them with AI based solutions. Requirements: -Experience in Data Science, Machine Learning and AI tech -Azure cloud technology experience -Strong Python Benefits: -Competitive salary -Remote working -25 days annual leave and bank holidays -10% bonus -And more Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Contact me:

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 based in Spain, Germany, the UK or Sweden at this time. The Opportunity: As a Mimir Engineer you’ll join one of two sub-squads, Ingest or Query, that together maintain the open source _ and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes. Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms. What You’ll Be Doing: • Take an active role in influencing our roadmap and your own career objectives, • Work with your team to deliver new features, then use the results to iterate and improve., • Drive projects from initial idea all the way to operations once it is in the hands of customers, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability, • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running, • Support other team members, participate in design discussions and collaborate with the team, • Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system What Makes You a Great Fit: • Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively, • Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must., • Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well, • Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way, • Some experience with developing software that runs in the Cloud or some experience with systems engineering, • Some experience with being on-call and following the DevOps model, • Experience writing clean, robust, and performant software that is easily maintained by others, • Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Bonus Points For: • Experience working with Kubernetes, • Experience working with queue systems, e.g. the Kafka protocol, • Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects), • Exposure to microservices architecture and distributed systems, or a desire to learn, • Familiarity with the concept of infrastructure as code In United Kingdom, the compensation range for this role is GBP 91,755 - GBP 110,106. 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 .

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role As a Fullstack Software Engineer on the Catering team at Olo, you will design, build, and monitor solutions that facilitate the online ordering, management, and effortless transmission of high-value Catering orders to our customers. Our team's mission is to create tools and features that support restaurant operations for the accurate production of catering orders and ensure our guests are served on time and without interruption. We aim to collaborate well. We encourage new ideas and experimentation. No part of the codebase is off-limits. You'll work with a passionate team dedicated to delivering amazing products using modern technologies. • Design and implement scalable, high-quality components and services that align with team and company goals., • Contribute to technical decision-making, including solution design and architecture, with a focus on addressing technical debt, reliability, and system performance., • Collaborate closely with product managers, designers, and stakeholders to translate customer needs into technical solutions., • Proactively monitor and improve system performance, identifying and resolving issues swiftly and effectively, while communicating clearly and effectively with stakeholders during incidents to ensure alignment and prompt resolution., • Take a proactive approach to support, digging into issues to identify root causes and developing long-term, proactive solutions to prevent recurrence., • Document and share knowledge effectively to elevate the team’s technical expertise., • Champion best practices in software development, agile methodologies, and continuous improvement., • 3+ years of experience in software engineering, including excellent knowledge of C#, .NET and commercial experience with Typescript and a Front-end framework (React or similar)., • Experience with cloud services like AWS and familiarity of containerization with Docker and EKS., • Experience writing unit tests and testable code., • Demonstrate strong problem-solving skills and the ability to navigate complex technical challenges., • Exhibit excellent judgment, seeking diverse perspectives and challenging assumptions to improve outcomes., • Deliver constructive feedback that empowers individuals and strengthens the team., • Communicate technical concepts clearly, adapting to both technical and non-technical audiences., • Consistently meets sprint and quarterly commitments while maintaining high standards of quality and efficiency.About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at _. _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.

We help the world Be Everyday Ready™ Today’s threatscape is relentless. So are we. At Cyderes, we specialize in building practical IAM, exposure management, and risk programs, and stopping active threats fast with MDR that works with your existing security tools — all augmented by AI and driven by seasoned operators. Our tireless global team is laser-focused on cybersecurity, arming organizations with the people, platforms, and perspectives they need to conquer whatever tomorrow throws their way. About the Role:The Senior IAM Consultant, SailPoint ISC is a customer-facing consultant responsible for implementing the technical deployments of IAM solutions at Cyderes. They work on customer projects and programs, directly with the Engagement Lead and Project Manager to deliver outstanding solutions. They maintain a high-quality of work and delighting our clients. The Senior IAM Consultant will be well-versed in their area of expertise and will focus on delivering SailPoint. The consultant will provide subject matter expertise in SailPoint during consulting engagements, which assess, define, install, and configure a client’s security capabilities in the policy, process, technology, or organizational areas. The IAM Consultant also identifies gaps and recommends cost effective best practices to manage client risk and increase their understanding of security and privacy risk and compliance. • Work as part of a high-end consulting team to deliver product and domain expertise in Identity & Access Management. As a Senior Consultant you’ll be leading and working independently on some customer engagements., • Work on the technical delivery of IAM implementation projects, • Help gather business and technical requirements from the customer, • Provide input to functional and technical design where required, • Ensure that the technical solution meets the customer requirements and performs as per design, • Create customer delivery documentation such as implementation and configuration documents, test plans and run books, • Provide assistance to pre-sales activities such as developing client focused proposals, and running technical PoC’s, • Work closely with project manager and engagement manager to deliver tasks on time, within budget and with high quality, • Identify new and existing customer opportunities, • Help create strong customer relationships with technical stakeholders, • Share best practices with team members to contribute to enhance the IAM center of excellence, • 5+ years of hands-on experience in SailPoint doing:, • Installation and configuring, • Developing lifecycle workflows, • Onboarding applications with automated provisioning, • Configuring reports and dashboards, • RBAC and Access Reviews, • Experience with databases (such as Oracle, MSSQL, MySQL), • Experience with Java or BeanShell and PowerShell required, • Experience with the web technologies such as XML, SPML, Web Services (SOAP/REST), web and application servers, • Strong communications skills (written and verbal), • SailPoint ISC Engineer Certification - Required, • Readiness to travel up to 20% annually.Cyderes is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to race, religion, color, sex, age, disability, sexual orientation, genetic information, national origin, or veteran status. Note: This job posting is intended for direct applicants only. We request that outside recruiters do not contact us regarding this position.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.

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

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Full Stack Engineer Salary: £60k-£80k + Equity Company Description: Lichen AI - Early-stage agentic platform for AI discovery Job Description: As the first full-time engineer, you will transform a working prototype into a production-grade enterprise SaaS. You'll build robust backends, design intuitive interfaces for complex AI outputs, and establish foundational engineering practices. Working directly with an expert founding team, you'll ensure the platform is secure, reliable, and ready for global enterprise customers. Location: Cambridge, UK Why this role is remarkable: Join as the first founding engineer with a significant equity stake and a clear path to technical leadership as the company scales. Work alongside a world-class founding team including the former Chair of the UK Government’s AI Council and Amazon Alexa's speech recognition lead. Build a mission-driven platform that uses agentic AI to amplify human insight rather than replacing it, solving a critical adoption gap for enterprise clients. What you will do: Transition a high-potential prototype to a production-grade platform by building secure, scalable backend systems and automated deployment pipelines. Lead the end-to-end development of the user interface, making complex AI-generated insights legible and actionable for non-technical business users. Implement enterprise-grade security and compliance standards including ISO 27001 and GDPR to ensure safe handling of sensitive client data. The ideal candidate: Has 3-8 years of experience shipping production web applications using modern JavaScript/TypeScript (React) and Python (FastAPI). Demonstrates strong proficiency in cloud infrastructure, specifically AWS, and designing robust database structures and data pipelines. Thrives in a small, fast-paced startup environment and possesses a genuine interest in human-centered AI that enhances domain expertise. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Software Engineer (AI-Forward).As a Software Engineer with Texas Sports Academy, you play a key role in building the software that runs our school — student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day.

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 – Backend, you will play a key role in designing, automating, and maintaining the infrastructure that powers our backend systems. You’ll work closely with developers to streamline deployments, improve scalability, and ensure our services are reliable, secure, and cost-effective. By building efficient CI/CD pipelines, managing cloud environments, and enforcing infrastructure best practices, you’ll enable our teams to deliver high-quality features quickly and confidently. 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 CI/CD pipelines to automate build, test, and deployment processes. Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform (GCP). Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi. Deploy and manage containerized applications using Docker and Kubernetes. Monitor system performance, identify bottlenecks, and improve infrastructure reliability. Establish and enforce security best practices, including identity management, logging, and vulnerability management. Work with development teams to improve deployment efficiency and troubleshoot infrastructure issues. Optimize cloud resource utilization to ensure cost-effectiveness and scalability. Automate infrastructure provisioning, configuration management, and system maintenance. Stay up-to-date with emerging DevOps technologies, tools, and best practices. Around 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering. Strong expertise in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, CircleCI, ArgoCD). Experience with cloud services (AWS, Azure, or GCP) and serverless computing. Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. Hands-on experience with containerization and orchestration (Docker, Kubernetes, Helm). Strong knowledge of Linux-based systems, networking, and security best practices. Scripting skills in Bash, Python, or Go for automation. Experience with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog). Understanding of cloud cost optimization, scalability, and high-availability architectures. Strong problem-solving skills and ability to work in an agile, fast-paced environment. 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.

At Simply.TV, we're redefining how the world experiences TV metadata. As a leading provider of advanced, AI-driven metadata solutions, we empower broadcasters, streaming platforms, and telecom operators to deliver smarter, more engaging content discovery experiences. From next-gen EPG (Electronic Program Guide) data to rich content enrichment, we enable our partners to stay ahead in a rapidly evolving media landscape. Headquartered in Copenhagen, and supported by 400+ of us worldwide, our data fuels user interfaces that are used by millions of viewers every day — and we’re just getting started. Whether you're passionate about media technology, data engineering, or customer success, Simply.TV is the place to shape the future of TV — and have fun doing it. Join us, and let’s make content discovery simple, powerful, and inspiring! As a Technical Account Manager, you’ll take ownership of a portfolio of key clients across the DACH region, acting as their primary technical expert and trusted advisor. From day one, you’ll lead seamless onboarding experiences, guide complex product integrations, drive adoption, and ensure smooth day-to-day operations. You’ll troubleshoot technical challenges, work closely with cross-functional teams across Europe, and run strategic check-ins to ensure clients extract maximum value from Simply.TV. This role is ideal for candidates with a strong engineering or technical background, capable of working confidently with software systems, APIs, and product integrations. You’ll rapidly develop a deep understanding of our platform, design practical solutions for clients, and guide them through technical implementations and ongoing optimization. Beyond client support, you’ll convert field insights into actionable improvements—translating technical requirements into product enhancements and collaborating closely with Product, Implementation, and Sales teams. You’ll also identify opportunities for growth through technical upselling and solution expansion. Your success will be measured by the technical value you deliver, your ability to solve client challenges, and the lasting impact you create on client operations—while continuing to build strong client relationships. You'll thrive in this role if you: • Serve as the primary technical and commercial contact for clients, guiding them through software integrations and platform usage., • Work autonomously across time zones, staying organized, proactive, and solution-oriented., • Help clients maximize the value of Simply.TV by identifying technical improvements, optimizations, and upsell opportunities., • Monitor client systems and operations, anticipate risks, and coordinate technical fixes with Product and Engineering teams., • Translate client technical requirements into actionable solutions, ensuring smooth implementation and adoption., • Maintain clear documentation of interactions, plans, and action items., • Stay up to date on product updates, technical trends, and media technology, anticipating client needs., • Demonstrate a passion for technology and media innovation, with a proactive, adaptable approach and a strong ability to learn quickly. You'll thrive in this role if you: • Hold a university degree in Engineering, Technology, Computer Science, or equivalent practical experience., • Bring 0–3 years of experience in client-facing technical roles, such as Technical Account Management, Customer Success Engineer, Solutions Engineer, or Sales Engineering, ideally in B2B SaaS or telecommunications., • Demonstrate the ability to analyze client needs, troubleshoot technical challenges, and translate requirements into actionable solutions., • Show a genuine passion for technology, media innovation, and problem-solving in fast-paced environments., • Exhibit proactive, hands-on learning and adaptability, with good communication skills for collaborating with clients and internal teams., • 🚀 Work at the forefront of media tech – Help shape how millions discover TV & streaming content., • 🤝 Be a trusted counterpart – Work directly with key clients to drive their technical success and satisfaction., • 🌍 Collaborate globally – Join a strong team across continents that thrives on innovation and teamwork., • 🎯 Make real impact – Your contribution ensures Simply.TV’s data and solutions empower millions of end users daily., • 📈 Grow and learn continuously – Gain exposure to advanced technologies, media systems, and client infrastructures., • Language(s): Both German and English (fluent), • Reports to: Head of Technical Account Management, • Employment Type: Freelancer, • Location: Madrid, Spain (preferred) OR Portugal, Germany, Austria, Poland, UK, • Type of Collaboration: Freelancer setup ( Fulltime-40hrs/week) Collaboration based on a freelancer set-up on a full-time allocation basis (40 hours per week).

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 .

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and _ rely on Sardine to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - UK, Germany, Ireland, Spain, Poland, Bulgaria or Lithuania From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About The Role As a Machine Learning Engineer, you’ll do more than build models - you’ll design the systems that make fraud detection possible. You’ll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale. This is a chance to combine applied ML with large-scale systems engineering, owning end-to-end solutions that tackle high-stakes, ever-evolving challenges. What you’ll be doing: Build and optimize data pipelines and backend services to process device and behavioral data in real time. Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production. Turn raw data into production-ready features that feed our fraud detection systems. Collaborate with platform and backend engineers to integrate models seamlessly. Maintain high standards of security, privacy, and compliance. Champion best practices in testing, documentation, and observability. What you’ll need: Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.). Strong SQL skills and familiarity with relational and non-relational databases. Experience with end-to-end ML systems: feature pipelines, model deployment, monitoring, and iteration. Excellent communication skills in English, both written and verbal. Bachelor's or Master's in Computer Science, Engineering, or a related discipline. Bonus Points Domain knowledge in fraud, risk, or cybersecurity. Background in Software Engineering Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework. Understanding of modern browser APIs and high-entropy data collection techniques. Familiarity with leveraging frontier LLMs for automation. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

• Manage incoming emails and respond to customer enquiries. • Answer and make customer phone calls. • Book surveys, installations, and service appointments. • Prepare quotations using company templates. • Raise invoices and assist with accounts administration. • Follow up on outstanding quotations and payments. • Update and maintain the CRM (HubSpot). • Manage diaries and engineer schedules. • Liaise with customers, suppliers, and manufacturers. • Organise documents, spreadsheets, and business records. • Provide administrative support to the Managing Director. • Use AI tools, including ChatGPT, to improve productivity and streamline workflows. • Identify and implement opportunities to improve systems and processes.

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands. About the Role The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam's Securiti AI solutions, and be motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. As a Lead Customer Success Engineer, you are the primary technical owner driving long-term customer outcomes across the Securiti Data Command Center platform. You'll lead onboarding, adoption, and optimization; proactively identify churn risk and upsell opportunities; and apply deep expertise in DSPM, Privacy, Data Security, and AI Governance to deliver measurable customer value. What You’ll Do • Setup customer accounts; facilitate onboarding; orient stakeholders; walk through administration portals; introduce support channels., • Identify expansion opportunities; analyze platform usage and customer environments; conduct success planning and strategy sessions; align business outcomes with product adoption., • Conduct assessments; recommend solutions and architectures across DSPM, Privacy, Data Security, and AI Governance offerings., • Perform technical health checks; assess data security, privacy, and AI governance posture; deliver quarterly value and adoption reviews., • Monitor signals to detect churn risk early; define mitigation plans; partner on renewal strategy with actionable technical insights., • Build business cases; define value realization; articulate expansion opportunities; schedule checkpoint reviews with stakeholders., • Engage CISO, CIO, Chief Privacy Officer, and Data Leadership stakeholders with clear risk, status, and opportunity updates; support executive discussions and roadmap alignment., • Collaborate on adoption and expansion initiatives to drive customer success., • Operate with a long-term account assignment model tied to ARR and growth potential, typically covering Strategic and Enterprise accounts with significant annual contract value., • Own the technical success plan and adoption roadmap; influence expansion and renewal outcomes in partnership with Sales and Customer Success leadership. What You’ll Bring • 12+ years in customer-facing technical roles focused on data security, privacy, governance, cloud security, or enterprise software (e.g., Technical Consulting, Solutions Architect, Sales Engineer, Technical Account Manager, Customer Success Engineer)., • Hands-on expertise across cloud platforms, data platforms, SaaS applications, security technologies, and enterprise architectures., • Strong experience conducting technical assessments, driving adoption programs, and delivering measurable customer outcomes; familiarity with DSPM, Privacy, or AI Governance platforms is a plus., • Preferred certifications: AWS Solutions Architect, Microsoft Azure Administrator or Solutions Architect Expert, CISSP, CIPP, CIPM, or similar industry certifications., • Proven ability to translate business outcomes into technical adoption roadmaps and measurable value., • Executive stakeholder engagement skills (CISO, CIO, Chief Privacy Officer, Chief Data Officer) with the ability to synthesize technical, business, and risk signals into clear recommendations., • Excellent communication, cross-functional collaboration, and stakeholder management skills. What You’ll Get: Veeam offers benefits that support your whole self: • 25 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares, • Private medical, dental, and vision insurance with dependent enrolment, • Life insurance with enhanced coverage and global 24/7 protection, • Income protection after 26 weeks, covering a portion of salary, • Defined contribution pension plan with employer match, • Worldwide travel insurance for business and leisure, with option to enroll dependents, • Employee Assistance Program with therapy, legal, and financial support, plus online GP services and wellbeing programs, • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning Please note: If an applicant is permanently located outside of United Kingdom, Veeam reserves the right to decline the application for this position. #LI-DF1 #LI-REMOTE Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential. Personal data collected during the recruitment process will be processed in accordance with our _, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing. By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment. _

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Forward Deployed Engineer (£60-75k) Salary: £60-75k Company Description: Authsignal Ltd - Fast-growing API-first identity and passwordless authentication startup. Job Description: As the founding EMEA team member, you will bridge the gap between engineering and customer success. You will guide enterprises through complex integrations of passkeys and biometrics while shaping Authsignal’s developer experience. This hands-on role involves building SDKs, creating technical content, and directly influencing product direction for global financial and healthcare customers. Location: Remote, UK Why this role is remarkable: Founding EMEA Presence: You will be the first UK-based hire, owning the region and enjoying high autonomy as the primary technical point of contact for European enterprise clients. Market-Leading Tech: Work with cutting-edge passwordless authentication (FIDO, biometrics, passkeys) at a company recently named a Rising Star in KuppingerCole's 2025 Leadership Compass. High Impact: Sit at the intersection of product and sales, where your technical feedback directly shapes the SDK roadmap and helps major enterprises secure millions of interactions. What you will do: Lead technical integrations for enterprise clients, deploying secure identity solutions into diverse stacks like AWS Cognito, Azure AD B2C, and bespoke environments. Develop and maintain SDKs, client libraries, and sample code while producing scalable developer resources like documentation, blogs, and video walkthroughs. Partner with the sales team to run technical demos and proof-of-concepts, capturing field insights to inform product improvements and reduce integration friction. The ideal candidate: Proven background in solution engineering or systems integration with strong hands-on proficiency in TypeScript/JavaScript and REST/GraphQL APIs. Deep understanding of identity and security domains, specifically MFA, passkeys, or OIDC, with experience navigating complex enterprise software environments. Exceptional communicator who can explain complex technical concepts to customers and has a passion for building developer tools and educational content. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Are you a Geospatial Data Engineer Volunteer wanting to use your skills to help people in a humanitarian crisis and ultimately help save lives? MapAction can enable you to volunteer to do just that. Volunteers have been the heart of the MapAction for over 20 years but the range of skills needed continually evolves. Now we are looking for a enthusiastic Geospatial Data Engineer professional who has a desire to commit to a great team, and to help MapAction make a difference that has a lasting effect on vulnerable communities. MapAction works with a range of humanitarian partners, from local organisations who are closest to the ground to a range of global UN partners. Come and be part of something that is exciting and impactful! Why MapAction? MapAction is a leading humanitarian mapping charity, delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector, and are a technical partner of the United Nations, Non-Government Organisations and Civil Society Organisations, the Red Cross, Red Crescent Movement, regional entities and national authorities. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. As a volunteer, we will be able to work with technical staff and volunteers on different opportunities. Once your onboarding is complete, you will be able to choose the tasks and projects that best fit your skillset and interests. Here below some activities that our data engineer volunteers can support with: • MapAction external projects that require a Data Engineer skillset (e.g.: data pipeline automation, hazard exposure platforms, multi-risk models, conflict incident reporting, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Conduct and automate data collection and processing scripts, • Create and maintain optimal, performant data pipeline architectures, both internally and externally, • Propose improvements to infrastructure, schemas, platforms, toolchains and configurations, • Assist in the automation, provision and management of development environments, source-code, build-tools, pipelines and deployments, • Support ad-hoc Data Processing during MapAction’s Emergency Responses in collaboration with MapAction’s GIS team, • Support internal systems maintenance in collaboration with MapAction’s IT Support Engineer, • Attend and / or represent MapAction on technical conferences, • Train other volunteers or external organizations on Data Engineer tools and processes What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Time to commit to MapAction, for more details on the time commitment, please refer to the “What does it mean to be part of the MapAction team?” Essential: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • Three or more years of professional experience working in a data or information management team, as a data engineer, data scientist, developer or other similar role, • Experience and proficiency working with Python and Jupyter Notebooks, • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • Project management experience. Experience in understanding partner needs and requirements, in particular working with non-technical clients., • Collaborative code management using Git & GitHub Desirable: • Experience of participating in a volunteer organisation or open source projects., • Experience with QGIS or ArcGIS, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Experience with Systems Engineering, • Understanding of the Software Development Life cycle, • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience What does it mean to be part of the MapAction team? Being part of MapAction means entering a close-knit community of highly skilled and committed and experienced professionals in different sectors. It means using your unique skills to help prepare for, anticipate, or respond to humanitarian emergencies, enabling our partners to provide life-saving support. At MapAction, training and team building are at the heart of our organisational culture. We have frequent meet-ups online and in person where paid staff and volunteers get together for training opportunities and skill-sharing, to strengthen our service offer. As a volunteer, you can participate in all levels and areas of the organisation, working alongside our colleagues at various UN agencies and/or other humanitarian partners. Volunteers also steer the organisation's strategic direction and are involved with designing and implementing our operational capacity. You will have the opportunity to travel, whether that’s at training events, project work abroad, missions or representing MapAction at a conference. Availability for projects, including in-person deployments • MapAction expects a high level of commitment by volunteers to make themselves available to deliver projects, whether these projects are planned or emergency missions, remote or in-person, one-off tasks or longer term commitments., • Deployable volunteers are expected to seek a commitment from their employer (if applicable) to permit time off (paid or not) for deployments when necessary., • For emergency deployable volunteers, there must be arrangements in place for a quick decision to be taken on availability, including agreement from employers/family if required, in the event of all alerts. This should normally be within 12 hours of the issue of the alert, depending on time-zone., • For non-emergency deployments and projects logged on the tasking grid, volunteers must respond to a request for assistance (whether yes or no) by the deadline specified on the grid., • Volunteers are expected to put themselves forward for at least three substantive (i.e. at least two days work) tasks every year, and are normally expected to contribute at least 10 days of voluntary effort (excluding training) to MapAction every year., • It is the duty of all volunteers to do their best to make themselves available for any opportunity relevant to their volunteer role, and avoid perceptions of volunteers selecting only more ‘attractive’ tasks or missions. It is essential that MapAction is able to deliver on all tasks it commits to, and it relies on volunteers to be prepared to step up for a wide range of activities. As a member of the team, you will be expected to participate in at least 6 internal weekend training events. This must include our annual simulation exercise, which all volunteers are required to attend. Other weekend training events include 6 annual training weekends where we get together in person at various locations around the UK, and 4 online development days. Volunteers should live either within the UK or within reasonably easy and affordable reach of the UK in order to be able to attend face to face training events. Equal Opportunities Statement We are committed to creating an inclusive environment and welcome applications from people of all backgrounds, communities, and experiences. We value diversity and are dedicated to providing equal opportunities regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Selection for volunteer roles is based solely on an individual's skills, experience, suitability for the role, and commitment to our values. Notable Dates for volunteer process: Closing date - 19th July 2026 If successful after evaluation - test - week of the 27th July 2026 Attendance for Interviews online - week of the 12th August 2026 Attendance for final round in person - 12th September 2026 Unfortunately we are unable to accommodate anyone who can not meet these dates.

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures,, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🏅 The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions a day. Every inference shapes the prices our customers see, so you can immediately see the impact of your work. We have proved the concept with MVPs and POCs to grow to 2% of the UK market. Now we want to take it to the next level and build towards a state of the art solution, to fuel our expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign at the right time. Your primary focus will be the pricing engine, which sets the fees added to every quote tem serves, carefully balancing growth and margin. You will also contribute to the systems which manage both short and long-term imbalance decisions to determine how tem deals with it’s exposure across its portfolio. This is a hands-on, senior individual contributor role with significant technical leadership and organisation-wide influence. You will work closely with other MLEs, software engineers and MLOps to bring models to production, and carry real ownership of the technical direction and accountable for its performance. The right person is energised by the greenfield environment: comfortable taking on ambiguity and able to make progress before the path is fully defined. They have built pricing systems that worked and have learned from the times it hasn't. They'll bring that hard-won judgment to a system where the foundations are still being laid, and where early decisions compound. Success will be turning our current reactive system into a pricing engine which proactively drives growth by targeting the right customers to sign at the right time. 🚀 Responsibilities: Own the technical direction for pricing ML: Define what to build and how within the pricing engine, setting the strategy and roadmap for pricing machine learning as a core piece of tem's IP. Build ML systems for price optimisation: Design and implement models that dynamically set prices, balancing the trade-off between signing probability, portfolio balance and margin maximisation. Solve imbalance problems: Develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment. Bridge modelling and production: Own the modelling and data layer while working closely with software engineers and MLOps to ensure models are architected for production, contributing to system design decisions that affect performance and reliability. Communicate pricing decisions clearly: Articulate model behaviour, assumptions, and trade-offs to other technical stakeholders so that pricing decisions are understood across the teams that depend on them. 🎯 Requirements: Must-haves: Deep experience building ML systems for pricing, revenue optimisation, or decision-making under uncertainty, with a track record of models that went from concept to production and delivered measurable commercial impact. Strong foundation in stochastic optimisation and probabilistic modelling, with the judgement to formulate ambiguous business problems as the right mathematical approach rather than reaching for familiar tools. Proven first-principles reasoning: you choose between stochastic programming, classical ML, reinforcement learning, or a simple heuristic based on the problem, not the technique you know best. The engineering craft to match your modelling depth: production-grade Python, a high bar for code quality and system design, and the ability to work alongside software engineers as a technical peer across the full ML lifecycle. Senior technical leadership in ML: a track record of setting direction for a significant technical area, influencing cross-functional teams, and translating complex model decisions into clear terms for commercial, product, and engineering stakeholders so they are understood and acted on. Bonus points: Experience with reinforcement learning or causal inference in applied, commercial settings. Familiarity with energy markets, power trading, or portfolio management. PhD or equivalent research depth in a quantitative discipline (statistics, applied mathematics, physics, operations research, or similar). Ability to reason about the trade-offs between optimisation solvers (Gurobi etc) and gradient-based ML methods (PyTorch etc), and the judgement to know when to reach for each. Experience working with high data throughput systems in production. 🗣️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. Culture-Add Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

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)

Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team: The Firefox team is a community of engineers who care deeply about delivering the fastest, friendliest, most usable browser possible. We are responsible for making the things you see in the browser work securely, quickly, and well! Desktop Integrations is a cross-functional team that focuses on updates, installs and integrating Firefox with different OS platforms. As part of the Desktop Integrations team, you will be responsible for all things related to OS integration (particularly Windows and macOS) and helping us grow our user base. Our team is geographically distributed, and working in the open is the norm. We contribute to the code driving the Firefox browser on a number of desktop platforms. About the role: A Senior Software Engineer contributes to architectural discussions, and driving feature development within a team. At Mozilla, Senior Engineers are expected to work independently on scoped projects, collaborate closely with peers, and play a key role in delivering high-quality software that aligns with team goals. What you’ll do: • Contribute to the development and improvement of Firefox features related to installs, updates, and OS integrations., • Help implement enhancements to the Firefox installation and update experience, using data insights to guide development., • Tackle platform-specific challenges in low-level operating system integration on Windows and/or macOS., • Collaborate with your manager and teammates to scope and prioritize work in alignment with the team’s goals., • Participate in code reviews and contribute to technical discussions with peers., • Take ownership of complex bugs and lead efforts to improve the Firefox experience for hundreds of millions of users., • Work closely with your geographically distributed team in a highly collaborative environment. What you’ll bring: • 3-5 years experience as Software Engineer, • Experience with systems-level programming on at least one major platform (Windows, macOS)., • Solid programming skills in C/C++., • Effective communicator and collaborator, especially in distributed teams., • Ability to break down technical work and make steady progress within project timelines., • A collaborative mindset and a desire to contribute to team success. Bonus Points • Programming experience in Rust., • Experience working with Windows and/or macOS APIs at a low level (e.g., Win32, Cocoa)., • Additional experience with Linux, or macOS internals., • Contributions to open source projects. We value a variety of voices within our team and at Mozilla. You don't need to check every box on this list to apply. What you’ll get: • Generous performance-based bonus plans to all eligible employees - we share in our success as one team, • Rich medical, dental, and vision coverage, • Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute), • Quarterly all-company wellness days where everyone takes a pause together, • Country specific holidays plus a day off for your birthday, • One-time home office stipend, • Annual professional development budget, • Quarterly well-being stipend, • Considerable paid parental leave, • Employee referral bonus program, • Other benefits (life/AD&D, disability, EAP, etc. - varies by country) About Mozilla Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online. Commitment to diversity, equity, inclusion, and belonging Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at _ to request accommodation. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. Group: C #LI-REMOTE Req ID: R3160 Hiring Ranges: Remote UK £66,000 - £87,000 GBP

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact _. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. As a Senior Software Engineer in our Defence business unit, you will lead backend and edge/IoT engineering for critical work streams, implementing robust, scalable patterns. You’ll bridge the gap between machine learning research and production-grade software, raising the technical bar through hands-on contribution and peer mentoring. Working alongside Lead Engineers and Data Scientists, you will scope and deliver high-impact solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. Designing and building robust backend and edge/IoT components for diverse client deliverables across multiple software domains. Scoping and executing bounded technical problems to ensure high-velocity delivery. Shipping production-ready code in Python and at least one compiled language such as Rust, C++, Go, C#, or Java. Implementing scalable CI/CD processes, containerisation with Docker, and deployments on Kubernetes or bare metal. Mentoring and pairing with fellow engineers to share best practices and empower the team to deliver their best work. Collaborating with Machine Learning and Data Science teams to operationalise agentic software and advanced AI tooling. You possess strong hands-on experience in application development and a solid understanding of modern system architecture and design. You have a proven track record of shipping code used by paying customers in both Python and a compiled language. You are highly skilled in DevOps practices, including GitLab CI/CD, Docker, and managing applications in production environments. You bring experience with agentic software development and a passion for understanding and solving complex customer problems. You thrive when acting as a key contributor within a squad, taking ownership of technical challenges and elevating the team's output. You communicate effectively with technical and commercial stakeholders, translating complex requirements into robust engineering solutions. Talent Team Screen (30 minutes) System Design Interview (90 minutes) Pair Programming Interview (90 minutes) Commercial & Leadership Interview (60 minutes) We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

TEECOM | We Make Technology Work in Buildings Do you want to launch or advance a career at the intersection of technology and the built environment? Do you want to work with exceptional engineers to creatively solve complex problems? Do you want to work with clients to take their building experiences to the next level of connectivity, safety, and wow-factor? Do you want to join a company that defines the state of the art in its practice, with visionary leadership and in-house research and development? TEECOM is a $45+ million/year consulting engineering firm with an average annual growth rate of 20% over the past 25 years. We make technology work in buildings through strategic consulting, design and engineering, project management, and enterprise support. We work hard in a fast-paced professional environment that will challenge you to learn and grow, and we play hard through team lunches and events that give back to the community. Join us and make TEECOM even better. About the PositionIn the mid-level Designer engineering role, the Designer II will be proficient in their production skills in Revit and will have a basic understanding of one or more of the disciplines. This individual supports or manages the process of virtually constructing a building and documenting the design contract from the construction documents set through record drawing submittals. This is an opportunity to choose which discipline they would like to become an expert in. This individual is expected to receive delegated production and engineering and work effectively as part of a team. They will continue to be mentored in their focus discipline and given engineering tasks with direct oversight from their mentor, Sr. level engineer, or direct supervisor.The individual will receive thorough instruction through mentorship, hands-on Revit training, and opportunities to shadow senior level technical staff to learn from their experience. • Represent TEECOM Values and Guiding Principles: Individual demonstrates that they CARE about clients and fellow team members, adds VALUE, and earns and builds TRUST., • Lead by Example: Individual sets the example for the team by aligning their actions with their words., • Indirect Mentorship: Individual provides indirect mentorship to anyone who asks questions or needs guidance., • Augment Company-Wide Communication: Individual demonstrates a commitment to elevating company-wide communication by enhancing internal documentation, fostering team collaboration, and supporting transparency across the firm., • Knowledge of the AEC industry and the design and construction process are a plus., • Organization: Keep track of multiple projects and client and team member requests, often on a last-minute basis with excellent follow-up to assure promises are kept., • Documentation: Thoroughly documents, updates, and maintains process documentation, notes, and decisions across appropriate platforms to ensure workflows, processes, and discussions are accessible and up-to-date., • Communication: Conduct business communications in an effective, professional, and concise manner, both verbally and in written formats, and in one-on-one, small-group, and large-group settings. You must read, write, speak, compute, and problem-solve various tasks. Break down complex concepts into smaller and more digestible components that allow for a greater level of understanding by others., • Teamwork: Work as a functional member of a team and successfully work with other teams and business functions to achieve positive results. Facilitate effective project team and cross-functional interactions (Technical, Operations, BD, Marketing, etc.)., • Problem Solving: Approach problems using a methodical and logical method to create a workable solution. Use numbers and mathematical approaches for various tasks. Conduct research using the Internet., • Software: Use software applications effectively and efficiently (G Suite, MS Office, Bluebeam, Slack, Revit, AutoCAD MEP, Navisworks, Bluebeam Studio, etc.) to communicate and deliver work products., • Process Oriented: Follow processes, continually seek to make processes more efficient, enforce processes, and conduct root cause analyses that lead to the update or creation of processes., • Learn the building design process and the pursuit process, • Attend client meetings with senior technical staff members and prepare meeting notes documenting relevant decisions and discussions, • Prepare Revit models and/or AutoCAD drawings, • Assist with specification preparation and design calculations, • Research technical product information, • Assist other technical staff members with job site inspections to determine existing conditions and extent of progress made by contractors, • Perform delegated tasks from senior staff, • Attend and contribute to internal team, discipline, and project meetings, • Regularly document, update, and maintain team-related processes, workflows, and best practices. Actively initiate and participate in discussions about project challenges, process improvements, and other topics that enhance internal documentation and contribute to the team’s success and collaboration, • Perform other work-related duties as assigned, • Ensure timesheets/expense reports are accurate and up-to-date daily, • Achieve billed revenue target each quarter, • Quarterly reviews are completed on schedule, • Utilization equals 85%, • Average hours worked is between 40 and 50 hours per week, • Achieve goals from the Performance Plan each quarter, • Complete 100% of Asana tasks on time, • Actively engage with GitHub repositories, Callback One, Design Decision Logs, and other pertinent platforms by consistently contributing valuable documentation and participating in discussions to enhance internal documentation and team collaboration., • Education/Degree/Major: BS in Engineering (electrical preferred) or equivalent experience, • Construction industry or equivalent experience is a plus, • Autodesk (AutoCAD, Revit) is a plus, • Bluebeam Studio is a plus, • Microsoft Suite, • G Suite, • EIT is a plus, • CDT is a plus£40,000 - £70,000 a yearThis compensation will vary depending on your role-related skills, experience, knowledge, and subject matter expertise. TEECOM is committed to ensuring that we are the right fit for each applicant and that each applicant is the right fit for our team. As we get to know each other throughout the interview, the compensation may vary within the stated range. Your level will be evaluated and determined during the interview process. Please submit your resume and a cover letter.NOTICE TO THIRD PARTY AGENCIES: Please note that TEECOM does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Fee Agreement, TEECOM will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, TEECOM explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of TEECOM.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.

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Principal Product Specialist (AI-SPM / DSPM) to join our team. This is a remote role with a preference for candidates based in the United Kingdom or major European metropolitan areas such as Amsterdam or Frankfurt, reporting to the Sr. Director WW Field PM for DSPM. As a key member of the Data Security Product Organization within the DSPM Field PM team, you will drive the technical and commercial success of our DSPM solutions across the EMEA region. You will act as a critical bridge between our customers and the product organization, ensuring our platform evolves to meet real-world security challenges while empowering our field teams to win. What you’ll do (Role Expectations) Drive the sales strategy and execution for the DSPM product suite specifically for our EMEA customer base Lead and manage the end-to-end Proof of Concept (PoC) process for DSPM opportunities to demonstrate technical superiority and business value Serve as the primary technical resource for deploying DSPM solutions during the PoC phase to ensure seamless integration and performance Act as the definitive voice of the customer, synthesizing field feedback to directly influence and improve the DSPM platform roadmap Enable and educate the broader Zscaler field team to effectively position and sell DSPM solutions within their accounts Who You Are (Success Profile) You thrive in ambiguity and are comfortable building the path as you walk it, seeing uncertainty as the raw material to build something meaningful. You act like an owner with a fierce bias for action, navigating between high-level strategy and hands-on execution to ensure the mission succeeds. You are a learner with a true growth mindset, constantly seeking feedback and developing your skills to become a stronger partner and teammate. You are customer-obsessed and build deep empathy for both internal and external stakeholders to ensure their success remains our primary anchor. You are a pragmatic builder who is obsessed with iterating and shipping, never afraid to roll up your sleeves to build the first version yourself. What We’re Looking for (Minimum Qualifications) Deep expertise in infrastructure deployment within at least one major public cloud environment, specifically AWS, Azure, or GCP Proven professional experience in a technical, customer-facing role such as a Sales Engineer, Solution Architect, or Product Manager Exceptional technical sales expertise combined with the communication skills necessary to engage effectively with sophisticated enterprise customers Subject matter expertise in Data Security Posture Management (DSPM), Data Security, or cloud security projects like CNAPP Demonstrated ability to create and deliver high-impact Proof of Concept presentations that clearly communicate complex technical value to a business audience What Will Make You Stand Out (Preferred Qualifications) Advanced domain expertise specifically within the DSPM landscape Familiarity with or a strong aptitude for working with Network File shares within Data Center environments Hands-on familiarity or the ability to quickly master Gen AI infrastructure platforms including AWS Bedrock, Azure AI Foundry, or Google Vertex #LI-REMOTE #MG-3 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: • Various health plans, • Time off plans for vacation and sick time, • Parental leave options, • Retirement options, • Education reimbursement, • In-office perks, and more! Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits _. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the _link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ London or UK Remote | £105,000 - £135,000 + Incentive Awards tied to your performance + | _ - Engineering About our Engineering Teams: We have around 400 engineers across Monzo who design and build our in-house banking platform. We have big ambitions for the future, and technology plays a big role in creating a bank our customers want, so engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company. These range from the products our customers use everyday to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. As a bank, there is scope for impact across a huge number of opportunities. We contribute to as much as possible. Our is a good place to learn even more about what we do! Your day-to-day This role is all about collaborating with your team to make a difference to your customers. As a backend engineer you’ll work in a squad alongside other disciplines like product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! Together you'll build and support a particular part of Monzo. Our squads belong to our wider collectives (a word we use to describe self-governing business units of ~100 people). They are: Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront- from fighting financial crime to building smarter financial tools - and you may have the opportunity to join a collective that gives you direct exposure to this exciting space. They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles. How we work Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles. We value meeting in person but we don't have a mandated requirement on office attendance, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs ✨ Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays ️ Teams also schedule time together often for work and play – in or around the office, or online. Set up a work schedule that delivers impact and fits your life: At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency ✨ If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Work the way that works for you with Monzo! You should apply if: • you have strong experience working on the backend of a technology product, • you want to be involved in building a product that you (and the people you know) use every day, • you have a product mindset: you care about customer outcomes and you want to make data-informed decisions, • you’re comfortable working in a team that deals with ambiguity, • you’re interested in distributed systems and writing resilient software, • you have some experience with strongly-typed languages (Go, Java, C, Scala etc.)., • you think you’d enjoy the kind of work we’re doing We're on the look out for L50 Engineers at the moment, you can read more in our _- we will interview you across the whole frame work, so if you are not sure what level you are aiming for please chat to your recruiters! Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything thats listed just yet. Drop us your application, we’d love to hear from you! What you’ll be working on: We hire very technically agnostic so whilst we use the below technologies we do not expect prior knowledge, you will be fully supported in our organised onboarding to get up to speed in the below: • to write our application code (there’s an excellent interactive Go tutorial ), • _ for most persistent data storage, • _ for our asynchronous message queue, • and to schedule and run our services, • _ for RPC, • for most of our production infrastructure and for most of our data infrastructure, • React for our public web apps and internal tools, • We also have physical datacenters with actual cables to connect to various third parties The Interview Process: Our interview process involves three main stages: • Initial Call, • Take home task or pair coding exercise, • Final interview: including a system design and a behavioural interview Our average process takes around 4 weeks but we will always work around your availability. One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see _. What’s in it for you: £105,000 - £135,000 + Incentive Awards tied to your performance ✈️We can help you relocate to the UK ✅We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits _ We're usually always hiring for Backend Engineers, so there's no closing date for this job. #LI-Remote #LI-HJ1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2026 and 2025 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are. Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Turnitin is seeking a Senior Backend Engineer with a strong focus on backend development, particularly in Java and serverless architectures, combined with solid frontend experience. This role is ideal for engineers passionate about building scalable distributed systems, data modeling, and delivering high-performing, reliable software solutions for our award-winning educational platform. As a core contributor to our shared services team, you will play a key role in developing and enhancing the foundational systems that power both existing and new applications. Responsibilities: • Design, develop, and optimize scalable shared backend services using Java and serverless technologies (AWS Lambda), • Design / implement RESTful APIs and event-driven systems, • Contribute to the development of user-facing frontend components as needed., • Optimize existing services for improved performance and cost-efficiency, • Collaborate closely with cross-functional teams, including Architects, Product Managers, and other engineering leads, to deliver innovative solutions., • Provide mentorship and guidance to junior developers, fostering growth and sharing best practices., • Implement and maintain CI/CD pipelines, • Ensure high-quality code through peer reviews, automated testing, and adherence to software development standards., • Create comprehensive documentation for the developed shared components, including usage guidelines and examples. Essential: • 8+ years of expertise in backend development, with proficiency in Java and experience with serverless frameworks (e.g., AWS Lambda, Google Cloud Functions)., • Hands-on experience with frontend technologies (e.g., React, Web Components)., • Strong understanding of distributed systems, scalability, and data modeling., • Proven ability to work effectively in cross-functional teams and collaborate with stakeholders across various locations, including distributed teams based in Europe and the USA, to deliver impactful solutions., • Practical experience in cloud technologies and frameworks, specifically developing serverless applications on AWS using technologies such as lambda, DynamoDB, API Gateway and SNS/SQS/EventBridge., • Extensive experience with software development best practices (e.g. design patterns, test-driven development, code profiling, debugging)., • Experience with CI/CD tools, including build, deployment and test automation., • Ability to communicate effectively with both technical and non-technical colleagues in agile environments., • A passion for mentoring and developing the skills of junior engineers., • Preferred Qualifications, Skills, and Knowledge/Experience, • Understanding or experience with AI/ML. Tii Elements: • Action and Ownership, Accountability, • Educator, • Collaboration, • Quality Focus, • One Team Total Rewards @ Turnitin At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work. Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates. In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. • Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do., • Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe., • Integrity: Integrity is the heartbeat of Turnitin—it is the core of our products, the way we treat each other, and how we work with our customers and vendors., • Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it’s hard., • One Team: We strive to break down silos, collaborate effectively, and celebrate each others' successes., • Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world. Global Benefits • Remote First Culture, • Health Care Coverage*, • Education Reimbursement*, • Competitive Paid Time Off, • Self-Care Days, • National Holidays*, • 2 Founder Days + Juneteenth Observed, • Paid Volunteer Time*, • Charitable contribution match*, • Monthly Wellness or Home Office Reimbursement/*, • Access to Modern Health (mental health platform), • Parental Leave*, • Retirement Plan with match/contribution*, • varies by country Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team! #LI-AP1

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.

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 .

_ is a fast-growing medical device software company headquartered in Bern, Switzerland. Our mission is to enable the right decisions sooner in healthcare, through transformative AI & data management solutions for disease screening and monitoring. Join our diverse team of entrepreneurs, developers, researchers, and commercial experts who are collectively shaping the future of healthcare. We are looking for a Cloud Engineer to join our team, where you will play a critical role in optimizing our cloud infrastructure to meet our customers’ needs. This position is pivotal to our mission of providing a seamless, secure, and scalable experience on our platform • Enhance and maintain highly available, secure, and scalable AWS cloud environments and services., • Manage and prioritize tasks in the cloud infrastructure backlog to address immediate needs and plan long-term improvements., • Set up infrastructure monitoring and observability solutions, proactively addressing availability, performance or security issues., • Learn the current infrastructure and take ownership of day to day cloud operational tasks and activities., • Assess new technologies, systems, and services for production readiness, ensuring seamless and stable integration., • Prepare and maintain documentation on cloud processes, procedures, and architectures to ensure clear understanding and team-wide knowledge., • Apply AWS Well-Architected Framework principles to evaluate and optimize our current infrastructure., • Contribute in out of office hour cloud deployments once or twice a month, • Conduct POCs (proof of concepts) on new AWS services, third-party tools, and technologies to drive continuous improvement in our infrastructure., • A demonstrated entrepreneurial and collaborative mindset with a proactive approach to problem-solving., • A university degree in Computer Science, Information Technology, or a related field., • 3-5 years of hands-on experience with AWS cloud services in a professional setting., • Proficiency with core AWS services, including IAM, S3, KMS, RDS, VPC, ECS, EC2, and more., • Experience working with multi-account and multi-region AWS production environment setups and using IaaC to manage them., • Strong hands-on experience with Infrastructure as Code (IaC) tools, preferably Terraform., • Scripting experience with one or more languages, such as Python, Bash, or Node.js., • Good knowledge of cloud security principles and services, such as AWS WAF, GuardDuty, Config and CloudTrail., • Familiarity with CI/CD pipelines and tools preferably GitLab, • Experience with software version control and Git., • Strong understanding of cloud networking concepts, including VPC, VPC Peering, Subnets, and Load Balancing., • Familiarity with monitoring and observability tools for cloud environments, such as Grafana, Prometheus, OpenSearch, and the ELK stack., • Strong analytical and problem-solving skills, with a proactive approach to challenges., • A genuine interest in staying updated with new AWS services and features, integrating advancements into the cloud environment., • Ability to work well in a flexible, startup environment, taking initiative to establish new processes when necessary., • Excellent verbal and written English communication skills., • Good listening skills., • Familiarity with industry best practices in cloud architecture principles., • Ability to work independently and collaboratively within a team setting., • Availability to work during Central European Time (CET) business hours. What We Offer • A chance to be part of an exceptional team driving innovation in healthcare., • A competitive salary in a supportive work environment that fosters work-life balance., • Opportunities for professional growth and development in an international setting., • A culture of collaboration and inclusion, which is fundamental to our ethos., • Occasional travel to our HQ in Switzerland, immersing you in our core operations and company culture.

At The Multiplayer Group (MPG), we create world-class multiplayer experiences through Co-Dev and Full-Dev partnerships. Our people-first culture supports a diverse, global team in a welcoming and flexible work environment. With teams spread worldwide, we prioritise connection—both online and in person. Giving back is central to who we are, with a focus on local communities, education, and sustainability. We are looking for a deeply talented, fully remote Senior Backend Engineer. You’ll be UK or EU based and you’ll be working in a team of backend engineers across MPG. We deliver, deploy and help integrate backend services alongside external co-dev clients as part of industry leading game projects, and collaborate to define solutions and implement features on time and to a high standard. We’re also developing an internal tool used across MPG, as well as growing our pool of AWS Certified engineers - both of which you will be involved with when you join us. • Experience in game development and having worked on at least two game titles in a commercial setting developing server backends for AAA games, free-to-play (mobile) games, casino apps or similar, • Experience releasing at least two backend services with a large number of concurrent users, • Production experience with at least one of Java, Golang, C#, C++, Kotlin; experience with Python, Node.js and React is desirable, • Experience with cloud platforms: Amazon Web Services, Google Cloud and Microsoft Azure; having an AWS Certification (Associate or above) would be advantageous, • Experience with infrastructure as code tools, e.g. Terraform, • Ability to create supporting documentation, designs, comments, etc, • Ability to discuss technical and production matters, • Excellent time management and ability to work autonomously, • Experience building distributed applications, • Attention to detail with ability to comprehend and follow direction, • Clear communicator with the ability to verbalise conceptual thoughts and the willingness to accept constructive critique, • Experience with Git or Perforce, or other source control software, • Ability to adapt to new tools, languages, and concepts as required by the project, • Knowledge of Microservices and Service Oriented Architectures (SOA), especially Kubernetes and Docker, • Experience building a CI/CD pipeline to validate and test code, • Awareness of security/cheating implications of technology choices, • Experience using Gen AI for code generation Beneficial • Demonstrable database experience with both SQL and NoSQL, • Understanding of how a backend service integrates with the game - experience with Unreal or Unity would be useful but not required, • Experience with high-scale distributed applications with a concurrent user base ranging in the hundreds of thousands, with high uptime, and performant services, • An understanding of how to use LLMs to process and query structured and unstructured data Responsibilities • Individual contribution: construct systems, write code, deployments, etc., • Work with the team lead and stakeholders to estimate and prioritise work, • Work alongside peers to iterate on solutions that fit requirements, • Keep the project lead and producer apprised of revised estimates and delivery times, • Promote and maintain high standards and process: tests, CI/CD, documentation, • Help and support team members in day-to-day work, • Understand, maintain and expand existing code and develop new features or systems Please don’t forget to include your CV, a cover letter, and links to your GitHub, website or portfolio. Our Benefits Flexible working: Remote-friendly long before it was the norm, with core hours that support both great work and real life. Support & wellbeing: Mental health first-aiders, therapy and coaching via Myndup, plus private medical insurance to help you stay healthy and supported. Pension & life cover: A strong pension plan and life insurance to support your future and protect your family. Time for you: Minimum 25 days’ holiday, a paid winter break, and 3 volunteering days each year to give back to causes you care about. Parental leave: Family-first policies that support parents and caregivers with flexibility and balance. Levelling up: Annual L&D budget, expert talks, game jams, and mentoring opportunities to help you grow your skills and career. Role Information: EN Studio: The Multiplayer Group Location: Europe, United Kingdom Area of Work: Game Development Service: Create Service Type: Code Employment Type: Permanent Fully Remote Working Pattern: Full Time Keywords Studios is dedicated to following a well-established Equal Opportunities Policy. We endeavor to create a workplace which provides for equal opportunities for all employees and potential employees. PERSONAL DATA PROTECTION POLICY Keywords Studios is strongly committed to protecting your personal information. By sending your CV/Resume, you are agreeing to our terms and conditions and consent to your data being managed and retained in accordance with our data privacy and retention policy _.

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, loyalty and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role In this role, you’ll join as a Senior Software Engineer on the ‘Core’ team, which is part of the wider ‘Order Engineering’ group. The Core team owns key parts of Olo’s platform, including baskets, orders, checkout, promotions, capacity management, and the services that power ordering experiences at scale. We build and maintain the APIs, services, and tools that brands and partners rely on to create reliable, flexible, and high-performing digital ordering experiences. As a Senior Software Engineer on this growing team, you’ll play a key role in shaping the future of these systems. You’ll help guide technical decisions, improve platform reliability and scalability, contribute hands-on code, and mentor other engineers. This is an opportunity to have meaningful influence across a broad and business-critical area of the platform while helping evolve the architecture for the next stage of growth. On a management level, the team is led by a dedicated Engineering Manager who is based in Northern Ireland. Exhibit mastery of the ‘Core’ team’s domain, taking a leading role in the design and architecture of complex systems and influencing technical direction and strategy. Own the delivery of large-scale features and projects, coordinating efforts across multiple teams and ensuring alignment with overall business objectives. Provide mentorship and technical leadership to both junior and senior engineers, helping to grow the technical expertise within the team and fostering a culture of continuous improvement. Collaborate closely with Product, Design, and other stakeholders to shape requirements, making architectural and technical decisions that balance quality, performance, and delivery timelines. Ensure the implementation of high-quality, resilient, and scalable distributed systems, incorporating resilience mechanisms and best practices. Lead troubleshooting and incident management efforts, taking a proactive role in resolving critical production issues and improving system reliability. Advocate for and implements improvements in development practices, such as enhancing CI/CD processes, optimising infrastructure as code, and increasing test automation coverage. Coordinate and lead cross-team technical initiatives, ensuring consistency and integration between various services and platforms. Stay ahead of emerging technologies and trends, assessing new tools and techniques to enhance the team's capabilities. Demonstrate ownership of the team's delivery pipeline, ensuring that code quality, testing standards, and deployment practices are continuously optimised. Use Claude Code and GitHub Copilot extensively as part of your daily workflow, and grow your skills through hands-on AI training designed to help you become highly effective with modern AI coding agents and IDEs. Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise. Bachelor’s Degree in Computer Science, Software Engineering or equivalent practical experience. 8+ years of experience in software engineering. Expert Programming Skills: Advanced proficiency in C#/.Net, with experience in designing and implementing large-scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps: Proficient in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform. Leadership & Cross-Team Collaboration: Demonstrate strong leadership and collaboration skills, with the ability to influence and guide technical efforts across multiple teams and ensure alignment with business objectives. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at _. _ 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.

About Us Job Purpose We are looking for a software engineer to join our growing cloud development team and help us deliver high quality software for computer security. We follow an Agile methodology with frequent, iterative releases to our live AWS environment. The team develops cloud management for Sophos’ endpoint security products, all implemented in our Sophos Central platform. We have an exciting roadmap of new features to develop and continuously release to our Cloud based customers. In this role you will have the opportunity to work with the latest cloud technologies, working across the full software stack and contributing to infrastructure, data storage, microservices, front end UI and test automation. • Contribute to the design and implementation of new features across the full software stack, leveraging modern design patterns, • Support the team’s high quality standards by ensuring code has appropriate test automation coverage, • Participate in peer code reviews and ensure design and code adhere to Sophos standards, • Participate in security reviews of features to ensure that products comply with Sophos’ security requirements and industry best practice, • Work with UX, PM, QA and other developers in project planning, to achieve high-value and high-quality solutions which meet business needs, • Contribute to daily stand-ups, kick-offs, collaborative estimation and retrospective meetings, • Essential:, • Degree in Computer Science or other numerate discipline, or equivalent experience., • Experience in full stack software development, ideally using Java and JavaScript/TypeScript., • Ability to put together well thought-through designs for software components., • Ability to write high quality code., • Experience with agile development methodologies., • Technical problem solving and strong debugging skills., • Good communicator, ‘can do’ attitude and a team player., • Ability to learn new skills quickly and apply them to the role., • Desirable:, • Demonstrable expertise in building cloud scale software solutions on the AWS platform., • Use of Angular for building single page web applications., • Experience with microservices and CI/CD pipelines., • Experience with NoSQL databases, ideally MongoDB, Dynamo or Elasticsearch., • Experience with SQL databases such as PostgreSQL., • Experience with Docker.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 YouWe’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 ProtectionIf 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. 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 role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden. We are looking for a Staff Backend Engineer to join our Grafana Backend Services squad. The Opportunity: The Grafana backend Services squad’s mission is to deliver the best Grafana service to both On-Prem and Cloud customers in a unified, end-to-end manner, from ownership of the API codebase all the way to operation of its components. Today, this means taking charge of multiple components such as the Grafana Backend API itself and the CLI tool, but also all the orchestration infrastructure required to deliver Grafana at the scale of our Cloud product. What You'll Be Doing: • Work with your team to deliver new functionality, then use the results to iterate and improve, • Contributing to and reviewing design documents for upcoming features, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Take an active role in influencing our roadmap and your career objectives, • Be a part of your team’s on-call rotations and take ownership of the services you’re running, • Mentor and support other team members, participate in design discussions, and collaborate with the team, • Regularly sharing ideas and knowledge across a vast array of technical ideologies and mindsets, • Working closely with the other squads in the Grafana Division 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). What Makes You a Great Fit: • Have solid backend development experience, ideally with Go, • Good understanding of storage solutions with an emphasis on relational databases like MySQL, SQLite, and Postgres, • Care deeply about developer and user experience and the quality of the products that you work on, • Have experience with delivering projects from gathering requirements, and brainstorming ideas to shipping a product to the customer’s hands in a self-driven way, • Have experience writing clean, robust, and performant software that is easily maintained by others, • Have experience with mentoring junior engineers in a collaborative but asynchronous environment, • Enjoy working on complex solutions – Grafana is a highly technical solution and has avid followers who rely on it every day and care deeply about their workflows., • Can take on complex challenges and break them down to achieve tight learning loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively Bonus Points For: • Experience with open-source software and/or commercial open-source companies, • Experience working with Docker and Kubernetes, • Experience with CI/CD, DevOps, or Developer Efficiency work streams, • Been a user of Grafana and Prometheus in operational roles, • Familiarity with being on-call and performing operations/SRE tasks, • Exposure to microservices architecture and distributed systems, or a desire to learn Compensation & Rewards: In the UK, the Base compensation range for this role is £91,000 - £114,000. 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 .

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 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. In This Role, You'll 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 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. 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. Design the Core APIs for the unified platform, automate end-to-end business processes with a workflow engine, and safely migrate legacy data. This isn't just API development — you're architecting the entire foundation of the platform. · Design and build core domain APIs — User, Startup, Expert Pool · Automate Application → Diagnosis → KO → Coaching workflows using a workflow engine · Design the unified DB schema with audit logging and permission middleware · Architect and execute data migration from legacy DB, CSV, and SharePoint sources · Enhance and scale the existing authentication system as the platform grows · Lead backend code reviews, establish architecture and engineering standards · Senior backend engineer experiences · Python backend development experiences · Large-scale DB schema design and operations · RESTful API design and large-scale service architecture · Authentication/authorization system integration or scaling experience · Business-level English fluency required — daily collaboration with a global team Language Python 3.11+ Framework FastAPI · Django Database PostgreSQL · Redis Workflow Temporal · n8n Infra AWS / GCP · Kubernetes · Docker Tooling GitHub · Jira / Linear · Cursor [한국어] 통합 플랫폼의 Core API를 설계하고, 워크플로우 엔진으로 전체 비즈니스 프로세스를 자동화하며, 레거시 데이터를 안전하게 마이그레이션합니다. 단순히 API를 개발하는 것이 아니라, 플랫폼의 뼈대 전체를 설계하는 역할입니다. · User, Startup, Expert Pool 등 핵심 도메인의 API를 설계하고 구축합니다 · 워크플로우 엔진으로 Application → Diagnosis → KO → Coaching 프로세스를 자동화합니다 · 통합 DB 스키마를 설계하고, 감사 로그와 권한 미들웨어를 구현합니다 · 기존 DB, CSV, SharePoint 등 다양한 소스의 데이터 마이그레이션을 설계하고 실행합니다 · 기 구축된 인증 시스템을 플랫폼 확장에 맞춰 고도화합니다 · 백엔드 팀의 코드 리뷰를 리딩하고, 아키텍처와 엔지니어링 표준을 수립합니다 · 시니어 백엔드 엔지니어 · 풍부한 Python 기반 백엔드 개발 경험 · 대규모 DB 스키마 설계 및 운영 경험 · RESTful API 설계와 대규모 서비스 아키텍처 구축 경험 · 인증/인가 시스템 연동 또는 확장 경험 · 비즈니스 수준의 영어 커뮤니케이션 능력 필수 — 글로벌 팀과의 일상적 협업 · 아키텍트 마인드. 코드를 짜기 전에 시스템 전체의 구조를 먼저 그리는 분. 최적의 설계에 대한 집착이 있는 분입니다. · 빌더. 레거시를 유지보수하는 것보다, 백지에서 새로운 시스템을 구축하는 것이 설레는 분입니다. · 임팩트 지향. 5,000개 이상의 스타트업이 사용할 플랫폼을 직접 만든다는 사실에 동기부여가 되는 분입니다. · AI 네이티브. AI 코딩 도구를 일상적으로 쓰고, AI 파이프라인과의 통합에 열린 자세를 가진 분입니다. Language Python 3.11+ Framework FastAPI · Django Database PostgreSQL · Redis Workflow Temporal · n8n Infra AWS / GCP · Kubernetes · Docker Tooling GitHub · Jira / Linear · Cursor Employment: • Working hours: Full-time 40 hours a week., • Location: Remote - South Korea based, • Contract: Fixed Term Contract

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.

About 1Password: We all have important information we need to manage, and protecting it should be easy. Over 150,000 businesses and millions of people log in to 1Password to unlock smart, simple access to everything they care about. Our vision is to create a safer, simpler digital future for everyone, and our culture values simplicity, honesty and a human-centric approach to solving problems. Come help us unlock peace of mind so everyone can stay safer online. As a Solutions Engineer, Enterprise, you will work closely as a trusted partner to our Enterprise teams within Go-to-Market to help improve sales productivity and deal flow by providing technical expertise and be responsible for helping them to achieve their sales targets. You will collaborate with Marketing, Product Management, and Support resources, and interact with key customer technical decision-makers to ensure proposed deals include technical solutions that accurately and specifically address our Enterprise customer’s needs and use cases. This is a remote opportunity within the UK. \n What we're looking for: • Communication (& Language): You have excellent written and spoken communication skills in both English and German, with the ability to engage and develop relationships, sharing information effectively across all professional levels., • 3+ years experience in customer-facing activities in a B2B environment., • 2+ years experience working directly with enterprise customers as a Solutions Engineer. ● Ability to disseminate and popularize technical information for a general audience., • Great presentation and communication skills., • Keen eye for detail and quality., • Excitement when it comes to investigating, testing and exploring solutions for customers., • Exhibits a high degree of independence, leading projects confidently with minimal to no oversight., • Demonstrates exceptional adaptability, expertly managing several high-priority projects at once without compromising on quality., • Thrives both independently and within a dynamic team setting, effortlessly navigating the rapid evolution of products and services., • It’s a bonus if you have personal experience with 1Password or another password manager—while not required, it’ll help you gain confidence quickly in this role., • Familiarity with the acronyms SCIM, AD, CLI, SSO, and of course SaaS., • Experience working with SaaS tools and in the security industry is an asset. What you can expect: • Be the main technical point of contact within 1Password’s Go-To-Market team., • Proactively scope the technical solution required to address Enterprise customer requirements, assess customers’ met and unmet needs, and recommend optimum solutions and support., • Understand our competitors thoroughly for objection handling and talk track development., • Provide technical coaching and professional development to 1Password’s sales team., • Collaborate with Product Management and Support teams on technical solutions proposed throughout the sales process and alert the sales teams to potential risks of deal closure., • Provide technical education to customers and staff when needed., • Prepare proposals and respond to RFIs, RFPs RFQs, and vendor/risk assessments., • Occasional travel may be required for events., • After 1st month = Gaining an understanding of overall how 1Password's Go-to-Market team works, the tools we use, the processes, 1Password as a product and our security model. You will dive deeper into the tools utilized by Solutions Engineers on a daily basis, how we work with other teams and more., • At 3 months = It is expected by 3 months that you will be up & running solo in customer calls, you will have experienced demo feedback training sessions, shadowed calls and had a reverse shadower on ones of your own. The call types will include technical discoveries, technical consultations, 1Password EPM + XAM demo calls and developer tools demos. You will be completing RFPs/RFIs and starting to get active in the Slack channel that Solutions Engineering monitors., • At 6 months = You will be well-versed in customer calls and will be active within the Slack channel that Solutions Engineering monitors, you will be managing at least one tier 2 product launch related project and will be active in creating, updating and verifying cards in our internal knowledge base (Guru) plus creating short recorded demo videos for customers., • Please note that this job description is subject to modifications and is not an exhaustive list of responsibilities. \n We believe in the power of remote work, but we also recognize that some in-person connection with team members and customers is important to help us achieve our mission. While we are a remote-first company, occasional travel for in-person engagement will be a part of this role. This may include but is not limited to bi-annual department-wide offsites, quarterly department meetings and periodic customer events. These events will typically be held in varying locations across Canada and the USA. In leadership roles, you can expect to travel once per month on average. What we offer: We believe in working hard, and resting hard. We’re always looking for new ways to support our team members, but here’s a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 👟 Wellness spending account 🏝 Generous PTO policy 💖 Company-wide wellness days off scheduled throughout the year 🧠 Wellness Coach membership 🩺 Comprehensive health coverage Growth and future 📈 Employee stock option program for all full-time employees 💸 Retirement matching program 💡 Training budget, 1Password University access, and learning sessions 🔑 Free 1Password account (and friends and family discount!) Flexibility and community 🤝 Paid volunteer days 🌎 Employee-led DEIB programs and ERGs and ECGs 🏠 Fully remote environment 🏆 Peer-to-peer recognition through Bonusly You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses an automated employment decision tool as a part of the recruitment process. See the latest bias audit . A reasonable accommodation, reasonable alternative selection process, appeal or to exercise your right to opt-out of AADM may be requested by emailing with subject "AI accommodation request". For additional information see our _.

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 an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. 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. Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into our development processes. Optimize AI models for mobile environments to ensure high performance and low latency. Around 4+ years of experience in AI/ML development, preferably in mobile applications. Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Experience with deep learning, NLP, computer vision, and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices. Experience in deploying and maintaining ML models in production. Ability to work collaboratively in a remote team environment. Strong problem-solving skills and a passion for innovation. 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.

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 .