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Are you a highly skilled Senior Backend Engineer with a passion for Data and Machine Learning, ready to make a global impact? Join Spotify's Commerce Platform to build the next generation of our robust, high-performing, and resilient payments ecosystem. This is a unique opportunity to solve complex challenges, work with ML-powered systems, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform, we in the Pay-In domain own the critical backend services and extensive datasets that power the users’ payment journey. You will join one of the sub-teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify. • Architect, design, and implement highly scalable backend services (Java/Python) and robust data pipelines that power Spotify’s internal Commerce platform., • Develop and enhance our ML-powered systems taking solutions from concept to production., • Take the lead on API design, platform development, and ensuring the scalability, reliability, and performance of our services., • Collaborate with a talented, cross-functional team of engineers, product managers, and data scientists to deliver impactful solutions., • Mentor other engineers and foster a culture of continuous learning and technical excellence within the team., • You have significant experience building and scaling backend services (Java and/or Python) in a large-scale, cloud-native environment like Google Cloud Platform., • You have hands-on experience with Machine Learning, including developing, deploying, or maintaining ML models in a production environment., • You have proven experience building and maintaining data pipelines to support ML and analytics use cases., • You possess practical knowledge of scalable database technologies, such as PostgreSQL., • You are a proactive, self-driven engineer with excellent problem-solving skills and a pragmatic approach to tackling challenges., • You are an exceptional communicator and collaborator, comfortable leading technical discussions and working effectively with diverse teams., • Previous experience in e-commerce, financial engineering, or high-volume transaction processing is a plus., • This role is based in London., • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

World Class Defence Organisation based in Bolton, Lancashire is currently looking to recruit 5x Development and Production Test Engineer - Electronic/Electrical subcontractors on an initial 12 month contract. Hybrid working from home is available, with a minimum of 3 Days onsite. • Looking for somebody with substantial test engineering experience., • Diagnosis of test failures, • Testing experience down to component level, • The department are keen to hear from candidates from a background with Electronics, RF, Microwave skills or candidates that have strong Test, Diagnostics, Repair Engineering skills. Hourly Rate: £37.00ph (Umbrella). (An accommodation allowance of £400 per week is available for those who live outside a 30 mile radius of the Bolton site) Contract Duration: 12 Months (initially and then ongoing and long-term thereafter) Development and Production Test Engineer – Electronic / Electrical Job Description: As a Production Test Engineer - Electronics, you will play a vital role in supporting testing and diagnostics of electrical/electronic sub-systems and circuit cards during the production phase of the product lifecycle. You will use your experience to provide technical support to the manufacturing test capability, to ensure programme targets are met to agreed time, cost and quality requirements. Responsibilities: You will be working with a small team of dedicated engineers in a fast-paced but friendly and inclusive manufacturing environment, carrying out the following: • Providing test engineering support to operators on the shopfloor, including supporting the introduction of new test equipment., • Testing and diagnosing complex electrical/electronic systems, sub-assemblies and circuit cards down to component level., • Generating test specifications, operator instructions and technical reports - based on higher-level requirements and information., • Promptly identifying remedial and corrective actions to allow Manufacturing to continue in line with the programme, following production test failures., • Supporting meetings with Quality and Operations to provide status updates on Test Engineering actions and investigations. Skillset/experience required: • Essential:, • Minimum HNC level of Engineering qualifications or equivalent., • Good understanding of digital and analogue electronic measurement and test principles, and fault diagnosis techniques, with demonstrable experience down to component level., • Awareness of electrical/electronic sub-system and system design, integration and test principles., • Good verbal and written communication skills, including generation of test specifications, operator instructions and technical reports., • Ability to plan and organise one's work according to assigned priorities., • Advantageous:, • Knowledge of RF and Microwave technology at the subsystem level., • Experience in operating manual and automated test equipment in an Electronics Manufacturing environment.

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

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.

The Company Nigel Wright Tech is pleased to be working closely with a unique consultancy in their search for a Data and AI Engineer. The Role You will play a key role in designing, developing and deploying machine learning models. Your work will directly contribute to transforming data into actionable insights, driving business growth and supporting decision making for clients. The Requirements This is a fantastic opportunity where you will get the chance to work on cutting edge AI projects within a collaborative and innovative environment. Key requirements include: • Experience in designing, developing and maintaining production ready, secure applications using AWS, GCP or Azure, • Exceptional stakeholder management skills with the ability to build strong relationships, • Implementation of data modelling and transformation processes to support advanced analytics and AI initiatives, • Explore and apply LLMs to build novel, AI driven applications, • Develop and maintain CI/CD pipelines to ensure seamless deployment and integration

Customer Success Engineer About Budibase Budibase is an open-source workflow platform used by over 200,000 teams to transform their internal processes. We empower IT teams and software developers to build internal web apps, automations, and forms by connecting to their existing databases and APIs. What We Need We are looking for a skilled and proactive Customer Success Engineer to join our team. Budibase is a technical product aimed at IT and software developers, and this role is crucial for ensuring our enterprise customers can successfully deploy and manage Budibase in their own self-managed environments. This is a remote position for candidates eligible to work in the UK. Candidates living in Northern Ireland can also benefit from office space and in-person working (Belfast). What You'll Do • Debug and resolve complex issues with customer's self-managed Budibase deployments, including those using Docker, Kubernetes, and other cloud hosting platforms., • Provide expert technical support for infrastructure-related inquiries via email, GitHub, and video calls., • Help customers understand best practices for deploying and maintaining Budibase in a production environment., • Improve and update our product documentation, with a specific focus on deployment guides and technical infrastructure., • Answer L1 customer support requests to ensure our customers are successful with Budibase. Requirements • Excellent written and verbal communication skills., • Proven experience (1+ years) in a customer-facing technical role, with a strong focus on infrastructure or DevOps., • Demonstrable experience with DevOps tools and concepts, specifically Docker and Kubernetes., • Strong fundamental knowledge of Linux administration and networking., • Experience with the NodeJS/Docker packaging ecosystem Bonus Skills • A solid understanding of basic programming concepts and data structures., • Experience with Infrastructure as Code (IaC) tools like Terraform., • Experience with databases or using REST APIs., • Experience with Budibase or a similar low-code platform. Why Join Budibase • Remote & Flexible Work: Enjoy the freedom of remote work with flexible hours. We are also open to negotiating a 4-day work week., • Competitive Compensation: We offer a competitive salary of £30,000 - £50,000, depending on experience., • Equity: Every team member receives stock options and will share in the company’s success., • Open Culture: Join a friendly, open, and transparent company culture., • Home Office Budget: We provide a budget to help you kit out your home workspace., • Company Offsites: Get to know the team in person with our annual company offsites; our last two were in Lisbon and Amsterdam. Budibase is an equal opportunity employer committed to creating an inclusive environment for all team members.

World Class Defence Organisation based in is currently looking to recruit an Interconnects Design Engineer / Cable Harness Design Engineer. The role does require Zuken E3 experience. Rate: £60.00 per hour Overtime Rate: Hours worked over the standard 37 hours per week, will be paid at ‘time and a quarter’ Location: Stevenage, Bolton or Bristol – depending on your preference Hybrid / Remote working: The role will be a mix of onsite and remote working Duration: 6 Months with very likely extension. Contracts are often ongoing and long-term thereafter. IR35 status: Inside IR35 (Umbrella) Interview process: One stage video interview Interconnects Cable / Harness Design Engineer Job Description: The role will be working within the Interconnects Team in Electronic Engineering (EE). EE aims to develop leading edge electronic engineering expertise, capabilities and technologies. The Interconnects Team forms a valuable part of this, tasked with providing a professional design service, embracing new and existing technology to meet quality and timescales, ensuring customer satisfaction. The Interconnects Team are Primary Technical Experts for Interconnectivity for the company and responsible for the design of cables and interconnecting mediums. We provide exemplary technical expertise and technological innovation while enjoying our design work. Responsibilities: • Interpret sub-system requirements, • Generate electrical schematics and cable design definitions utilising Zuken E3., • Provide assistance, guidance, and issue resolution for E3 users and the ability to utilise & integrate Zuken E3 throughout the product development lifecycle, • Carry out investigations into a full range of cable problems and issues; developing and preparing solutions, either individually or as a member of a project team, • Provide guidance and support to other areas of the business in order to resolve any manufacturing issues, as well as supporting functional and environmental product trials. Skillset/experience required: • A minimum 2-5 years’ experience in the use of E3.Cable and related products (E3.Formboard/ E3.3D Transformer beneficial)., • A proven ability to define, deploy, and refine processes and best practices within E3. – including; electrical topology, wiring schematics and 2D manufacturing drawing processes and standards., • Proven ability to develop and deliver technical instruction to E3 users., • Thorough understanding of product data management and change management within Windchill or similar., • The ability to design cable assemblies based upon electrical constraints such as current, screening, signal types, volt drop, EMC and environmental requirements., • An appreciation of cable assembly production/process engineering., • Good verbal and written communication skills., • Experience of PTC CREO Cabling would be beneficial.

We’re recruiting an Electronic Design Engineer to join a dynamic electronics company based in Littlehampton. The ideal candidate will have a strong background in electronic design, with hands-on experience in PCB layout and schematics, project management, and overseeing designs from concept through to production. A Bachelor's degree (or equivalent) in Electronic Engineering or a related field is essential This is a great opportunity for a candidate that wants to develop and grow within a business as the company is growing at a very fast pace. As a Design Engineer, your key responsibilities will include: • Designing and developing electronics devices, systems and circuits, • Creating and reviewing design specs and technical documentation, • Working with other departments to define project deliverables and requirements, • Troubleshooting and resolving design and technical issues, • Ensuring all designs comply with relevant safety regulations Requirements: • Bachelors degree or equivalent in Electronic Engineering or similar, • Experience with PCB layout and schematics, • Previous experience working as a Design Engineer, • Strong communication skills both written and verbally, • Proficiency in using design software such as, Eagle, Altium or similar Benefits: • 20 days annual leave + bank holidays + closed over the Christmas period, • Free onsite parking, • Work from home 1x a week, • Yearly bonus scheme This is a full time permanent position working Monday to Thursday 9am to 5:30pm with a 3pm finish on Friday’s. The role is based in Littlehampton. Wild Recruitment Ltd T/A First Recruitment Services is acting as an employment agency in relation to this vacancy.

gravity9 is seeking a Technical Lead / Solution Architect to lead the design and build of a secure metadata catalogue platform for a UK public sector client. The platform will serve as a centralised index for discovering, governing, and controlling access to data distributed across multiple independent domains — enabling authorised parties to locate and retrieve data without the catalogue itself holding or having visibility of the underlying data. This is a greenfield build requiring strong architectural judgment, hands-on delivery capability, and the ability to work within a multi-vendor environment where the catalogue integrates with separate data storage and encryption services provided by other technology partners. Duration 15 weeks Commitment Half-time for the first 4 weeks (design phase); full-time for the remaining 11 weeks (build and integration) Working model Mostly remote with periodic onsite attendance Security clearance BPSS (Baseline Personnel Security Standard) required Residency UK resident required Technical Scope The contractor will be responsible for leading the design and delivery of the API layer and application logic. A dedicated database consulting engineer will handle MongoDB cluster configuration, schema design, indexing, and performance tuning — the contractor will collaborate closely with them but will own the application-layer delivery. Architecture & Design (Weeks 1–4, half-time) • Design the Attribute-Based Access Control (ABAC) model, including policy attributes (clearance level, nationality, group/role, context), enforcement points, and decision logic, • Design the RESTful API architecture, including endpoint structure, request/response contracts, and error handling patterns, • Map out query patterns, access flows, and integration touchpoints with external systems (data storage and encryption services provided by partner organisations), • Collaborate with the database consulting engineer on schema design, search strategy, and encryption approach to ensure the API layer aligns with the underlying data model, • Contribute to Infrastructure as Code design for deployment (Terraform or similar) Build & Implementation (Weeks 5–15, full-time) • Build a RESTful API layer in Java implementing full catalogue functionality: – CRUD operations for metadata records – Advanced search capability leveraging Atlas Search – ABAC enforcement on all API operations, ensuring search results and data retrieval are filtered by the requestor’s access attributes – Secure storage and retrieval of encrypted key material (shard keys) via CS-FLE • Implement unit tests to validate functional correctness, • Build automated data load and stress testing harnesses for the combined API and cluster deployment, • Perform integration testing against external partner systems (or appropriate stand-ins) to validate end-to-end data creation and retrieval flows, • Produce API documentation and integration guides for consuming systems, • Support knowledge transfer and handover activities in the final weeks of the engagement Essential • Java development — strong hands-on capability building production RESTful APIs (Spring Boot or similar framework), • MongoDB — solid working experience with MongoDB, including querying, aggregation pipelines, and integrating MongoDB into Java application layers, • Atlas Search — practical experience designing and implementing search solutions using Atlas Search (or Lucene-based search within MongoDB), • Security & encryption — experience with Client-Side Field Level Encryption (CS-FLE) or equivalent application-layer encryption patterns; understanding of key management concepts, • Infrastructure as Code — experience with Terraform or equivalent for deploying and managing application infrastructure, • API design — ability to design clean, well-documented RESTful APIs suitable for integration by multiple consuming systems, • Testing — experience with load/stress testing tools and approaches for validating API performance under realistic conditions, • Technical leadership — proven ability to make architectural decisions, produce design documentation, and communicate technical trade-offs to both engineering and non-technical stakeholders Desirable • Experience designing and implementing Attribute-Based Access Control (ABAC) systems; familiarity with policy-as-code frameworks (e.g. Casbin, OPA, or XACML-based systems), • Experience with metadata standards such as DCAT, Dublin Core, or IES, • Experience working in UK public sector or defence environments, • Familiarity with multi-classification or multi-tenancy access models, • Experience with event-driven architectures and asynchronous processing patterns, • Understanding of consistency patterns in multi-service architectures (e.g. saga pattern, eventual consistency), • Knowledge of data mesh or federated data architecture concepts, • Experience integrating with third-party data storage APIs (e.g. S3-compatible interfaces) Working Context • The contractor will work as part of a small, focused delivery team operating within a multi-vendor programme, • The catalogue integrates with separate data shredding/storage and encryption services delivered by other organisations — the contractor will need to collaborate across these boundaries but will not be responsible for those components, • All work will be conducted via VPN access to the client’s cloud environment, • The client operates within a security-conscious environment; the contractor must be comfortable working within defined information handling and access constraints, • The role includes a knowledge transfer component in the final weeks of the engagement, including API documentation and integration guides for the client team Your application has been successfully submitted! _ We appreciate your interest in this position. 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Job Title: AI Engineer Location : Edinburgh UK Work mode : Hybrid Experience: 8 + Years Key Responsibilities: Design, develop, and deploy end-to-end AI/ML solutions from data ingestion to production. Build and optimize ML/DL models for NLP, computer vision, recommendation systems, and predictive analytics. Implement and maintain MLOps pipelines (CI/CD for ML) for scalable deployment and monitoring. Collaborate with cross-functional teams (data scientists, engineers, product managers) to define AI-driven solutions. Research and integrate Generative AI (LLMs, diffusion models, transformers) into real-world applications. Drive data strategy, including data collection, preprocessing, and feature engineering. Optimize models for performance, scalability, and cost-effectiveness in cloud/on-prem environments. Mentor junior engineers and contribute to best practices in AI development. Required Skills & Qualifications: Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face). Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases). Deep understanding of neural networks, reinforcement learning, and generative models. Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong knowledge of SQL/NoSQL databases and data engineering practices. Soft Skills: Excellent problem-solving, communication, and leadership abilities.

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. • Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup), • Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows, • Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms, • Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing, • Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts, • Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space, • Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively, • Minimum 3 years of engineering experience, • Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning, • Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.), • Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production, • Solid understanding of cloud technologies, containerisation and building scalable AI applications, • Ability to integrate AI/ML models into real-world applications, focusing on usability and performance, • Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment, • Experience working with large datasets, particularly in relation to demand and supply forecasting Bonus • Experience or strong interest in energy markets and trading strategies, • Understanding of weather forecasting, energy demand patterns, and production modelling, • Exposure to Natural Language Processing (NLP) or other related fields, • Competitive salary and an equity sign-on bonus, • Biannual bonus scheme, • Fully expensed tech to match your needs, • Paid annual leave, • Breakfast and dinner for office based employees

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

Job Title: Devops engineer Location : Edinburgh UK Work mode : Hybrid Experience: 8 + Years Key Responsibilities: Design, implement, and manage CI/CD pipelines for automated builds, testing, and deployments. Maintain and optimize infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation. Manage cloud infrastructure (AWS, Azure, or GCP) for high availability and scalability. Implement and monitor container orchestration platforms (Kubernetes, Docker, EKS, AKS, GKE). Ensure system reliability through logging, monitoring, and alerting solutions (Prometheus, Grafana, ELK/EFK, CloudWatch). Drive automation initiatives to reduce manual effort and improve system efficiency. Collaborate with development, QA, and security teams to enable DevSecOps practices. Troubleshoot production issues, perform root cause analysis, and apply permanent fixes. Contribute to disaster recovery and backup planning. Mentor junior engineers and share best practices within the team. Required Skills & Qualifications: 8–12 years of proven experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles. Strong expertise in cloud platforms: AWS / Azure / GCP. Hands-on experience with CI/CD tools: Jenkins, GitLab CI, GitHub Actions, ArgoCD, etc. Proficiency in Infrastructure as Code (IaC): Terraform, Ansible, Helm. Solid understanding of Kubernetes & containerization. Knowledge of networking, load balancing, security, and firewalls in cloud environments. Expertise in monitoring, logging, and observability. Scripting/programming skills in Python, Bash, or Go. Familiarity with DevSecOps practices and security compliance standards.

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 highly experienced, fully remote Principal Backend Engineer. You’ll be UK or EU based and you’ll be working in a team of backend engineers across MPG to drive the delivery and deployment of backend services for industry-leading game projects. You will act as a key engineering contact for external co-dev clients, collaborating with the Technical Director and Lead to architect solutions that balance technical idealism with production pragmatism. You will define the technical architecture for major game titles, ensure implementation quality, and mentor the engineering team. • Experience in game development and having shipped multiple live games (or similar products) with a high concurrent user count, • Proven experience architecting distributed applications with a high concurrent user base (hundreds of thousands), ideally proven with a released title or robust load tests, • Production experience with at least one of Java, Golang, C#, C++, Kotlin; experience with Python, Node.js and React is desirable, • Solid database experience, with the ability to work effectively with both SQL and NoSQL databases, • Proven experience with cloud platforms: Amazon Web Services, Google Cloud and Microsoft Azure; having an AWS Certification (Professional level) would be advantageous, • Proven experience building backend infrastructure using infrastructure as code tools, e.g. Terraform, • Proven experience using Kubernetes and Docker to build products at scale, • Ability to autonomously architect and design online services based on a specification, • Ability to navigate changes calmly and manage multiple pieces of potentially confidential information, • Excellent time management and ability to work autonomously, • Clear and effective communicator with the ability to discuss technical strategy with non-technical stakeholders and adapt to client needs, • Experience building CI/CD pipelines from scratch or improving existing client solutions, • Awareness of security/cheating implications of technology choices, • Experience using Gen AI for code generation Beneficial • Deep expertise in at least one relevant area of backend technology, e.g. DevOps, Microservices, Cloud Architecture, • Understanding of how a backend service integrates with the game - experience with Unreal or Unity would be useful but not required, • An understanding of how to use LLMs to process and query structured and unstructured data Responsibilities • Individual contribution: architect systems, write code, deployments, etc., • Act as the engineering contact point between MPG and the client, working alongside the Project Manager and Engineering Leadership, • Translate client requirements into tasks for yourself and team members, • Make the right trade-offs to design systems based on performance, time, and budget, • Mentor and delegate pieces of work to other team members to help develop them as engineers, • Create estimated cost spreadsheets for online services based on projected concurrent users, • Cultivate engineering best practices across teams: modular design, code quality, testing, • Work with the Lead and Production to communicate risks, benefits, and future roadmaps, • Active mentorship of the engineering team towards professional accreditation (e.g., AWS Certification) and technical leadership. 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 _.

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 _.

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 .

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

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 In this role, you’ll join as a Senior Software Engineer on the ‘In-Store’ team, which is part of the wider ‘Order’ engineering group. The ‘In-Store’ squad is focused on building and improving the integrations with new and existing POS (Point of Sale) partners and systems. They ensure that customers orders successfully flow through the Olo ecosystem with a spotlight on revenue by driving critical SLA’s, uptime and overall performance when it comes to integrations with external partners. This position is perfect for someone who has experience in the POS domain or who has been building systems that integrate with external partner platforms. You’ll have the support of a highly experienced engineering team consisting of 8 engineers in one squad. On a management level, the team is led by a dedicated Engineering Manager. • Exhibit mastery of the ‘In-Store’ 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., • Bachelor’s Degree in Computer Science, Software Engineering or equivalent practical experience., • 5+ years of experience in software engineering., • Expert Programming Skills: Advanced proficiency in the .Net and C# ecosystem, 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. 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.

Job Title: SolidWorks Mechanical Designer Job Type: Contract Term: 2 months (potential for extension) Start: Immediately Hourly Rate: £40 per hour Location: Herefordshire Onsite / Remote: Remote (with occasional visit to office) IR35 Status: Outside Our client is a long-established Engineering Design Consultancy, based in Herefordshire with strong skills in Mechanical and Electronic Engineering, Product Design and Analysis. Due to high workloads they are looking for an experienced SolidWorks Mechanical Design Engineer to join the team in an initial 2 month contract term. The ideal candidate will be a well rounded, mechanical designer with experience in design processes such as aluminium die casting and plastic injection moulding. The ideal candidate will be able to provide their own SolidWorks licence and workstation if working remotely. The client can provide this but you'd then need to be onsite. Skills and experience: Likely holds a relevant degree, though a strong track record and the right attitude are considered more valuable than formal qualifications. Demonstrated experience in leading the end-to-end design and development of mechanical components, assemblies, and systems-from concept through to production. Proficient in producing detailed 3D CAD models using SolidWorks, along with comprehensive engineering drawings and supporting technical documentation. Ensures all designs adhere to applicable industry standards and regulatory requirements. Collaborates effectively with cross-functional teams-including electrical, software, manufacturing, and quality assurance-to achieve fully integrated product solutions.

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

Grafana Labs 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 role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: The AppCore Stacks squad owns the systems that create, configure, reconcile, migrate, and operate Grafana Cloud stacks at scale. A stack is the customer-facing Grafana Cloud environment that connects an organization to Grafana and the backend services it uses, including Mimir, Loki, Tempo, plugins, dashboards, data sources, and stack-level configuration. Our work sits at the intersection of product, platform, and operations. We build the control-plane services and workflows that keep stack state aligned across grafana.com, Stack State Service (SSS), Hosted Grafana, cloud regions, and the underlying Grafana Cloud infrastructure. When this domain works well, customers get reliable stack creation, safe configuration rollout, predictable migrations, and fewer manual operational interventions. • Design, build, and operate reconciliation systems, including the SSS backend, to track desired stack state, detect and repair drift across stack templates, grafana.com state, Hosted Grafana, and actual customer stack configuration, • Collaborate across SSS, grafana.com, and deployment configurations to ensure stack lifecycle workflows remain reliable, observable, and resilient, • Improve operational efficiency by reducing deployment complexity (e.g., aiming for single PR regional SSS deployment) and contributing to the Stack Config Reconciliation project, • Manage rollout mechanisms for provisioned plugins, dashboards, data sources, Grafana versions, release channels, and stack-level configuration, • Support new region and cluster rollouts, including the operational paths required to bring stacks online safely in new Grafana Cloud regions, • Improve incident response and recovery paths for stack misalignment, reconciliation failures, plugin rollout issues, and Hosted Grafana integration failures, • Partner with Product, Hosted Grafana, Infrastructure, Support, and adjacent AppCore squads on customer-impacting stack lifecycle work, • Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations, • You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks What Makes You a Great Fit: At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe. We are seeking a Backend Engineer who thrives on building production systems where correctness, scalability, and operational clarity are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain. You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams. Some things you might be expected to do could include: • Writing efficient, readable, and easy to maintain code, • Implementing new microservices or systems, • Collaborating with teammates and other departments to reach consensus on proposed solutions, • Coordinating with product and UX when needed, • Responding to customer requests and feedback, • When ready, participating in our follow-the-sun OnCall rotation, • Participating in team decisions, such as roadmap planning and prioritization Requirements: • You have at least 1 year of fully remote work experience, • You have some experience working on a SaaS platform and are familiar with common distributed systems concepts (e.g., scalability, multi-tenancy, HA)., • Have professional experience with Golang and be willing to work across both backend service and application code, • Care deeply about developer and user experience and the quality of the products that you work on, • Have some experience contributing to the delivery of projects, from initial brainstorming to shipping a product to the customer., • You write clean, well-tested software that other engineers can understand, operate, and maintain, • Can take on well-defined tasks, break them down, and execute iteratively to deliver working solutions and gather feedback., • You are willing to collaborate across teams and ensure your work is aligned with the needs of other squads and external stakeholders., • Familiarity with Kubernetes in AWS, GCP, or Azure, and exposure to infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Experience participating in blameless incident response and contributing to post-incident reviews. Bonus Points For: • Experience with TypeScript/Node.js, • Experience with Kubernetes control-plane patterns, operators, reconcilers, or desired-state systems, • Experience with Jsonnet/Tanka, Terraform, Flux, Argo, or similar deployment/configuration tooling, • Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems, • Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch Compensation & Rewards: In United Kingdom, the compensation range for this role is GBP 72K - GBP 90K. 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 .

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.

Are you a highly skilled Backend Engineer looking to make a significant impact on a global scale? Join Spotify's Commerce Platform and help us build the next generation of our robust, high-performing, and resilient commerce ecosystem. This is an exceptional opportunity to tackle complex challenges, shape our technology stack, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform, we own the critical backend services and extensive datasets that power end-to-end merchandising, sophisticated order management, seamless payment orchestration, and intuitive purchase flows for millions of users worldwide. Your expertise will be instrumental in evolving our technology stack, driving innovation, and directly impacting Spotify's business growth. • Architect and implement highly scalable backend systems and robust data pipelines from concept to deployment, ensuring the right capabilities are delivered within Spotify’s internal commerce platform, • Lead the design and development of critical features in our Java and Python backend services, contributing to a high-volume, low-latency environment, • Design, build, and optimize data pipelines, ensuring efficient and reliable data processing for our commerce insights and operational needs, • Drive operational excellence by championing best practices in monitoring, alerting, and incident response for our production systems, • Collaborate closely with talented engineers, product managers, and cross-functional teams across Spotify to deliver impactful solutions for our users, • This role has on-call rotation, • 5+ years of working experience in a similar role, • Experienced building and scaling Java and/or Python backend services within a large-scale, cloud-native environment (e.g., Google Cloud Platform or equivalent), • Experience of building and maintaining data pipelines, • Knowledge and practical experience with scalable database technologies like PostgreSQL, • Excellent problem-solving skills with a strong bias for action and a pragmatic approach to engineering challenges, • Exceptional communication and collaboration skills, comfortable driving technical discussions, presenting complex ideas, and working effectively with diverse stakeholders, • A self-driven, proactive engineer who thrives in a collaborative team environment and is committed to continuous improvement through feedback and shared learning, • Experience in e-commerce, financial engineering, or high-volume transaction processing domains is a bonus, • This role is based in London, United Kingdom, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times a week.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.

Legal & General supports the savings, protection and retirement needs of around 14 million people, through our portfolio of retail and workplace businesses. Our Retail division helps people enjoy a more colourful retirement, both directly and through their employers, including Lifetime Mortgages, Retirement Interest Only Mortgages and financial advice on our range of lending products. We are the UK’s number one individual life insurer, and also provide Group Protection products for employers – all helping people to plan for the unexpected. We support home buying through our Mortgage Club – the UK’s largest – and our award-winning Surveying Services team. And our fintech team finds and supports socially useful start-ups and scale-ups working in the workplace, home, insurance and wealth areas. Joining us means helping create brighter financial futures for all our customers. Are you a talented engineer ready to make a significant impact? Join our dynamic technical engineering team, where you'll use your software engineering skills to create innovative features, squash bugs, tackle technical debt, and streamline our processes. Your efforts will directly contribute to delivering exceptional, high-quality software that delights our customers. What you'll be doing: • Collaborating with the team to develop clean, maintainable features and resolve end-to-end issues, utilising various approaches to ensure we deliver outstanding outcomes to our customers efficiently and effectively, • Contributing to the management of technical debt, ensuring Legal & General’s systems remain secure, resilient, and reliable, • Enhancing and refining testing methodologies within the team to ensure the highest quality customer experience, with a strong focus on security, usability, and accessibility, • Participating in code reviews, emphasising both functional and non-functional requirements such as performance, resiliency, maintainability, and security, to consistently produce high-quality, safe software for our customers, • Engaging in continuous improvement efforts related to security, quality, deployment, monitoring, and operations, enabling the seamless release and operation of safe, performant, and resilient systems in production, • Actively participating in developer team meetings to keep colleagues informed and foster a culture of knowledge sharing. Communicating effectively and collaborate continuously with team members to ensure smooth delivery of development activities within the sprint timebox, • Pursuing ongoing skill development through relevant training in your role discipline Who we're looking for: • Proven hands-on experience in building microservices using Java and Spring Boot, • Solid understanding of clean code principles and architecture concepts such as SOLID and Onion, • Demonstrated expertise in crafting large-scale, well-optimised, and maintainable software features, ensuring robust and efficient solutions, • Good grasp of at least one layered backend application architecture, including three-tier, hexagonal, or onion, • Proficiency in test-driven development and familiarity with the testing pyramid., • Comprehensive understanding of Continuous Integration, Continuous Deployment, and other release strategies, • Proven ability to analyse, debug, and resolve highly complex issues, showcasing your critical thinking and technical prowess, • Excellent communication skills, with strong proficiency in both spoken and written English Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer: • The opportunity to participate in our annual, performance-related bonus plan and valuable share schemes, • Generous pension contribution, • Life assurance, • Private medical insurance (permanent employees only), • At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday, • Competitive family leave, • Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice, • There are the many discounts we offer – both for our own products and at a range of high street stores and online, • In 2023, some of our workspaces were redesigned. Our offices are great spaces to connect and collaborate and have your wellbeing at the heart At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all. If you join us, you’ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel. We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can. It doesn’t matter if you don’t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.

About Us Antavo is a rapidly growing, VC-backed scale-up disrupting the loyalty management market with its innovative omnichannel technologies. We are recognized by Gartner and Forrester as a leading pure-play loyalty management platform. The Team The Antavo Team is a passionate, dynamic, innovative and fun-loving professional team. From consultative salespeople to savvy marketers to tech whizzes, we have a diverse team of talented individuals with one unified focus: our customers. Customers are at the heart of everything we do, and we pride ourselves on always taking an innovative, customer-centric approach to creating the right experiences, products, and content for them. With big dreams and a grand mission, we’re looking for great like-minded people to join us - people who are passionate, fearless and entrepreneurial. If you’re looking for a dynamic, no corporate-BS environment to learn, grow, and really make an impact, we could be the perfect fit for you! The Role We are looking for a Senior Technical Account Manager to act as a trusted technical advisor for Antavo’s strategic customers. This role is focused on long-term customer success, technical adoption, platform stability, solution optimisation, and proactive risk management. You will work closely with customers after go-live to ensure their Antavo setup remains scalable, reliable, and aligned with their evolving business and technical needs. You will combine strong technical understanding with excellent customer-facing communication skills. You should be confident discussing integrations, APIs, data flows, configurations, release impacts, platform behaviour, technical risks, and best-practice recommendations with both technical and non-technical stakeholders. A key part of this role is developing and maintaining a strong command of the Antavo platform. You should be able to understand complex customer setups, advise customers on optimal platform usage, troubleshoot technical topics, and act as a bridge between customers and internal teams. This role may require occasional customer travel for strategic workshops, technical reviews, Executive Business Reviews, or ad-hoc planning sessions when required. Candidates should preferably be based in the EU region or a timezone that allows strong overlap with European customers. HI THERE, I’m Shariq Ahmed Head of Customer Success here at Antavo We are a product-driven company. Our team is made up of passionate, smart people who help our customers achieve their goals by providing guidance, support, and strategic partnership throughout their journey with Antavo. We are looking for a Senior Technical Account Manager to join our friendly and agile team. I’m looking for someone who can combine technical depth, customer empathy, structured problem-solving, and strong ownership to help our customers get the best out of Antavo. I’m looking forward to working with you! Your main responsibilities • Maintain strategic technical relationships with senior customer stakeholders, including Engineering leadership,, • Architecture teams, Digital leadership, Product leadership, and C-level executives where relevant., • Act as the executive-level technical advisor for assigned strategic customers, helping customers align their technical roadmap and operational strategy with Antavo capabilities., • Lead technical alignment discussions related to scalability, architecture evolution, operational maturity, governance, and long-term platform strategy., • Represent Antavo in high-impact customer discussions involving technical escalations, strategic initiatives, platform evolution, or executive-level technical governance., • Provide strategic technical guidance and coordination across customer teams and internal Antavo departments, while ensuring ownership and follow-through of critical technical topics, • Act as the primary strategic technical advisor for assigned enterprise and strategic Antavo customers after go-live, • Build and maintain strong relationships with customer technical, business, and executive stakeholders, including Engineering leadership, Product teams, Architects, CRM, Digital, and C-level stakeholders where relevant, • Develop a high level understanding of each customer’s Antavo setup, integrations, data flows, configurations, environments, and business use cases, • Proactively identify technical risks, limitations, dependencies, adoption gaps, and optimisation opportunities, • Guide customers on best practices for platform usage, integrations, configuration, scalability, performance, and operational efficiency, • Translate technical concepts, trade-offs, risks, and recommendations into clear, customer-friendly guidance, • Act as a bridge between customers and internal teams such as Customer Success, Customer Operations, Support, Engineering, Product, Professional Services, and Implementation, • Preserve customer context internally and ensure technical topics are clearly documented, owned, and followed through, • Support customers through platform changes, upgrades, new feature adoption, and release-related questions, • Contribute customer feedback, technical insights, and recurring pain points into Product and Engineering discussions, • Partner with Customer Success Managers to support customer health, retention, value realization, and expansion opportunities, • Participate in Executive Business Reviews, technical reviews, workshops, and ad-hoc success planning sessions when required, • Help customers increase their self-service usage of the Antavo platform and Backoffice, • Create or contribute to internal and customer-facing documentation, playbooks, technical notes, and best-practice materials, • Support internal process improvements, technical account management playbooks, automation, and scalable ways of working, • Use AI tools where relevant to improve productivity, analysis, documentation, reporting, and customer communication, • Continuously deepen product, technical, loyalty, SaaS, and customer domain knowledge You should have • Proven experience building and maintaining relationships with senior technical and executive stakeholders, including CTOs, Heads of Engineering, Architects, Digital leaders, and enterprise decision-makers., • Strong ability to balance technical depth with strategic customer engagement and executive communication., • Experience acting as a trusted advisor for enterprise customers in complex, multi-stakeholder SaaS environments., • Ability to lead strategic technical conversations focused on scalability, operational maturity, technical governance, and long-term platform evolution., • Proven experience in a senior customer-facing technical role within a B2B SaaS environment, such as Technical Account Manager, Technical Customer Success Manager, Solutions Consultant, Customer Success Engineer, or similar, • Strong experience working with technical SaaS products and live customer environments, • Excellent communication and relationship-management skills, with the ability to earn and maintain customer trust, • Ability to explain technical topics clearly to both technical and non-technical audiences, • Strong problem-solving skills with a structured, analytical, and pragmatic mindset, • Experience working with integrations, APIs, data flows, web technologies, technical configurations, and production systems, • Ability to understand complex customer setups and identify risks, dependencies, and improvement opportunities, • Strong ownership and task prioritisation skills across multiple strategic customers, • Experience collaborating with Product, Engineering, Support, Customer Success, and Implementation teams, • Familiarity with issue and project-tracking tools such as Jira, • Understanding of software development processes, release cycles, incident handling, and escalation management, • Calm and confident approach in escalated, ambiguous, or high-impact customer situations, • Comfortable working in a remote, international SaaS environment, • Hands-on experience using AI tools to improve or automate internal processes, workflows, documentation, reporting, analysis, or customer-facing operations., • Built and showcased at least one practical AI-enabled project, workflow, or automation, with the ability to explain the problem solved, tools used, impact achieved, and lessons learned, • Willingness and ability to travel approximately 30-40% across the EU & NAM region for customer meetings, Executive Business Reviews, workshops, and ad-hoc technical training sessions Nice to haves • Experience with loyalty technology, CRM, MarTech, customer engagement platforms, e-commerce, or digital marketing technology, • Experience with loyalty business use cases such as points, tiers, rewards, campaigns, personalization, segmentation, omnichannel engagement, and member lifecycle, • Experience with RESTful APIs, SDKs, JavaScript frameworks, webhooks, authentication methods, and data integrations, • Good understanding of databases, including SQL and NoSQL concepts, • Experience working with e-commerce platforms such as Magento or Shopify, • Familiarity with marketing CRM or automation platforms such as Salesforce, Emarsys, Braze, Bloomreach, or similar, • Experience supporting enterprise or strategic customers, • Experience participating in technical workshops, solution reviews, Executive Business Reviews, or customer architecture discussions, • Experience improving technical account management processes, playbooks, dashboards, documentation, or automation workflows, • Previous experience in customer success, professional services, solutions engineering, or implementation consulting Benefits • The opportunity to quickly advance in your career, • AntavoCare health insurance benefit, • International vibe: our working language is English, and we have 100 colleagues from 8 different nationalities, • A dynamic, no corporate-BS environment to learn, grow, and really make an impact, • You will have a strong team around you to support you in reaching your goals Why our team loves working at Antavo • “Antavo is remote-first, so I can work from my home, which means a lot to me. We regularly meet in-person.”, • “Truly international vibe, with different nationalities working on one mutual goal.", • "I love my comfortable environment (no dress code, flexible working hours, company retreats, etc)", • "People here like my bad jokes." At Antavo every person is a unique personality working towards the same goal, creating a thriving business. It’s very important for us that everybody has a place and a voice on projects and goals, no matter the race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or basis of disability. We create and empower a diverse culture, as we know it encourages creativity and innovation. _ _

Role: Linux DevOps Engineer Salary: £75,000 WFH: Fully Remote (must be able to travel to London data centres occasionally) Overview Our client is a leading audio streaming technology company, enabling global distribution and monetisation of live and on-demand content for major media networks, broadcasters, and government agencies. Delivering billions of listening hours annually, their intelligent infrastructure powers some of the most recognisable names in radio, podcasting, and live event broadcasting. They are now hiring a Linux DevOps Engineer to support a hybrid migration journey from on-premise data centres into AWS and to help maintain 24/7 streaming services at scale. Key Responsibilities • Support and maintain Linux-based infrastructure across two UK data centres, • Assist in migrating applications and services into a hybrid cloud environment (AWS), • Use Infrastructure as Code tools (Terraform, Ansible) to manage environments, • Help automate deployment pipelines and ensure system observability, • Act as escalation point for infrastructure-related support tickets, • Collaborate with engineering and customer success teams to support streaming platform uptime Ideal Candidate • Strong Linux systems engineering and troubleshooting experience, • Confident with IAC tools like Terraform and Ansible, • Understanding of hybrid environments (on-prem + AWS cloud), • Previous exposure to live production, broadcast, or 24/7 service environments, • Comfortable with occasional out-of-hours maintenance and data centre access, • Driving licence required due to physical server access needs, • Proactive, flexible and calm under pressure Tech Stack / Tools • Linux, • Terraform, • Ansible, • AWS (Hybrid migration underway), • Monitoring & observability tooling Benefits • £75,000 base salary, • Time off in lieu for any out-of-hours work, • 25 days holiday, • Fully remote working (must be within travel distance to London), • Dynamic and varied role in a high-performance media infrastructure team, • Opportunity for international travel (e.g., Poland sites), • Involvement in high-scale broadcast and streaming environments Interview Process • Culture & Intro - with Managing Director, • Technical Interview - with Head of Infrastructure, • Final In-Person - with key team members

About ProvectusAt Provectus, we architect enterprise-grade AI and data solutions that transform how organizations leverage their most valuable asset – data. We combine deep technical expertise with strategic product thinking to deliver scalable, production-ready AI systems and modern data platforms.Who We're Looking ForWe're seeking a Senior Technical Product Manager with strong engineering acumen and product leadership experience to drive sophisticated AI and data platform initiatives. You bring the technical depth to engage in architecture discussions, evaluate trade-offs, and make informed decisions about complex system designs – while maintaining focus on business value and user outcomes.You're a technical translator who bridges the gap between possibility and practicality, helping clients navigate the rapidly evolving AI landscape with confidence. Your background allows you to assess technical feasibility, identify risks early, and guide engineering teams toward optimal solutions. • Architect Product Strategy for Technical Platforms:, • Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives., • Lead technical product discovery – evaluating emerging technologies (GenAI, Agentic AI, vector databases, streaming architectures) and assessing fit for client use cases., • Design solution architectures in collaboration with data architects and engineers, making build-vs-buy decisions and technology stack selections., • Develop technical roadmaps balancing innovation, scalability, security, and time-to-value. Drive AI/ML Product Development: • Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems., • Translate business requirements into technical specifications, API contracts, data schemas, and system integration patterns., • Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments., • Champion MLOps practices including model versioning, monitoring, performance tracking, and continuous improvement loops. Manage Complex Data Platform Initiatives: • Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations., • Define data product requirements including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns., • Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management., • Partner with data engineering teams on performance optimization, cost management, and scalability planning. Execute Through Agile Delivery: • Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and epic-level stories., • Work closely with engineering teams to decompose complex features into incremental releases with clear technical dependencies., • Define sprint goals aligned with quarterly objectives and long-term product vision., • Balance technical debt management with feature delivery, advocating for enablers and architectural improvements. Enable Technical Decision-Making: • Conduct technical due diligence, proofs-of-concept, and spike solutions to validate approaches before full investment., • Analyze trade-offs between competing technical solutions, considering performance, cost, maintainability, and developer experience., • Document technical decisions, architectural decision records (ADRs), and design patterns for knowledge sharing., • Communicate technical strategies and recommendations to executive stakeholders with clarity and conviction., • Required Qualifications:, • Bachelor's degree in Technology or Business related field (Master's preferred)., • 5-7+ years of experience in technical product management, solutions architecture, or software engineering., • 5+ years in product management roles with demonstrated end-to-end product ownership., • 3-5+ years of experience with AI/ML products, Generative AI, or data platform development., • 3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies., • Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologies. Technical Expertise: • AI/GenAI: LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen)., • Data Engineering: ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures., • Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery)., • MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking., • Data Migration: Assessment methodologies, migration patterns, data validation, cutover strategies., • Development Practices: API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines. Core Competencies: • Solution design and technical architecture capabilities., • Requirements translation from business needs to technical specifications., • Strong analytical thinking and problem-solving in complex technical domains., • Exceptional stakeholder management across technical and non-technical audiences., • Clear technical communication—documenting complex systems and presenting architectural decisions., • Risk identification, dependency mapping, and mitigation planning. Preferred Qualifications: • Prior software development or data engineering experience (3+ years)., • Background in consulting or professional services, delivering client solutions., • Certifications: AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, Certified Scrum Product Owner. Personal Attributes: • Insatiable curiosity about emerging technologies and a hands-on experimentation mindset., • Close attention to detail with quality focus and commitment to technical excellence., • Collaborative team player who thrives in cross-functional environments., • Adaptable and comfortable navigating ambiguity in fast-paced consulting contexts., • Passion for mentoring engineers and elevating technical practices., • Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms., • Shape how enterprises adopt AI — from strategy to architecture to delivery., • Grow within a team building modern AI-delivery practices, tools, and frameworks., • Remote-friendly culture with strong engineering, data, and consulting partnerships.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 Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore—everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)—making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you’ll remember. We’re looking for a Software Engineer II to join our fast-growing team. This hybrid role is based in either our Oxford or London office. Within Viator we have a fun and friendly environment where the key objective is getting things done. Working closely alongside product managers and designers, our engineers are part of the full process from software design, to code, to test, to deployment and back again. Most of our engineers release code to production every few days and we have a daily release cycle. At Viator our Engineers are versatile and enjoy working on a variety of technical challenges. This is a backend focused full-stack position in which you will be working mostly on the backend with some front end projects from time to time. While you need to be hungry to learn, you don't need to be an expert at front end development right away - we can teach that part on the job and you won't be tested on it in interviews. Viator’s web stack includes Java, GraphQL, Kubernetes, SQL and NoSQL databases, and runs on AWS. You don’t need experience with everything listed, but strong Java proficiency is essential for this role. Perks of Working at Viator • Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses., • “Work your way” with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like., • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work., • Donation matching. Give back? Give more! We match qualifying charitable donations annually., • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs., • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you., • Travel perks. We believe that travel is employee development, so we provide discounts and more., • Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges., • Health benefits. We offer great coverage and competitive premiums. Our Values • We aspire to lead. Tap into your talent, ambition, and knowledge to bring us – and you – to new heights., • We’re relentlessly curious. We push beyond the usual, the known, the “that’s just how it’s done.”, • We’re better together. We learn from, accept, respect, support, and value one another– and are creating something remarkable in the process., • We serve our customers, always. We listen, question, respond, and strive for wow moments., • We strive for better, not perfect. We won’t get it right the first time – or every time. We’ll provide a safe environment in which to make mistakes, iterate, improve, and grow., • Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to _ and let us know the nature of your request. Please include the job requisition number in your message. #Viator #LI-Hybrid #LI-TA1

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

Software Engineer, Consensus - Anza Anza is a Solana R&D lab pushing the boundaries of blockchain performance and scalability. Anza was founded by experienced executives and core engineers solving the toughest problems in Web3. Crypto ecosystems rely on robust protocols, and we believe those are best built out in the open, with multiple contributors. We pioneer advanced solutions to meet the evolving demands of decentralized applications. As a Software Engineer specializing in consensus, you will play a critical role in fortifying Anza's Agave client and the broader Solana network. Your work will directly improve the efficiency and reliability of our blockchain infrastructure, ensuring robust, timely consensus mechanisms. You will focus on optimizing the processes that underpin the agreement on block validity and order, ensuring they are secure, performant, and scalable to support future growth. • Develop and Optimize Consensus Mechanisms: Design, implement, and optimize the mechanisms for consensus to enhance the throughput and stability of the Solana network., • Efficient Coordination: Develop and refine algorithms to ensure fair and efficient agreement on block production among validators., • Ensure Security and Integrity: Identify and mitigate potential security vulnerabilities within the consensus mechanisms, ensuring robust protection against emerging threats., • Scalability and Performance: Work on improving the scalability of the consensus system to handle increasing transaction volumes and validator participation without compromising on performance., • Testing and Validation: Create and execute comprehensive tests to validate the reliability and efficiency of the consensus mechanisms, including stress tests, fault injection, and performance benchmarking., • Collaboration: Collaborate with cross-functional teams, including core protocol engineers, security experts, and infrastructure teams, to ensure the seamless integration and functioning of the consensus components., • Documentation and Code Review: Maintain thorough documentation of the consensus protocols and conduct peer code reviews to uphold high standards of code quality and consistency., • Experience: A Bachelor's degree in Computer Science, Engineering, or equivalent practical experience and 3+ years of hands-on experience with core infrastructure software and distributed systems., • Technical Expertise: Strong proficiency in systems programming languages such as Rust or C++. Experience with consensus algorithms, distributed systems, and blockchain technology is highly desirable., • Problem-Solving Skills: Ability to analyze complex systems, identify potential issues, and develop effective, flexible solutions., • Security Mindset: Knowledge of common security threats and best practices in securing consensus processes., • Growth Mindset: Actively consuming research papers, designing, and investigating new solutions., • Performance Optimization: Experience with performance profiling and optimization techniques., • Collaboration and Communication: Excellent teamwork and communication skills, with the ability to work effectively in a collaborative environment., • Familiarity with Linux, systems automation tools, and systems architecture., • Understanding of networking, architecture, and principles underlying distributed systems., • A knack for designing secure protocols, software, and algorithms that minimize trust requirements., • Self-driven, research oriented, and the ability to learn independently., • Active participation in Bitcoin/Ethereum/Blockchain projects or the open-source community is highly desirable. We offer a dynamic, fast-paced environment where innovation and problem-solving are at the heart of everything we do. Here, your work will have a direct impact on the security and scalability of blockchain technology, contributing to the foundation of decentralized applications worldwide. We're excited to welcome individuals who share our passion for pushing the boundaries of blockchain technology. If you're ready to take on the challenge and contribute to the next generation of blockchain infrastructure, we'd love to hear from you. The salary range for US-based candidates will be determined throughout the interview process depending on experience, skill, and location. Candidates should anticipate an annual base salary (not including incentive compensation or other benefits) of $180,000 USD to $300,000 USD.

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

Junior Technical Sales – CNC • Location: Scotland, • Glasgow, Edinburgh, Aberdeen, Dundee and surrounding areas, • Basic Salary: £40,000 - £50,000, • OTE: £65,000, • Company Car | Structured Training | Home Based This role is designed for someone who understands machining from the shop floor and wants more. If you are currently a CNC Programmer, Setter, Manufacturing Engineer, or Workshop Manager and enjoy the technical side of tooling, but want greater earning potential, autonomy, and career progression, this is your opportunity to step into technical sales properly. You will not be thrown in unprepared. You will be trained. Why This Role Is Attractive You will: • Move from the workshop into a commercial, field based role, • Represent premium, high precision tooling solutions used in serious machining environments, • Receive structured product training and hands on technical development, • Shadow experienced senior sales professionals, • Spend time at the company’s German headquarters for further development, • Take ownership of a new Scottish territory with major growth potential, • Build something almost from scratch in a high opportunity market Scotland is largely untapped for this business. The surface has only just been scratched. The growth potential is significant. This is not territory maintenance. This is territory development. The Business Our client is a European market leader in high precision tool holding and a global specialist in shrinking, balancing, and presetting technology for the metal cutting industry. Their products are used by high end manufacturers where machining accuracy, balance, and reliability are critical. The UK is a strategic expansion market, and Scotland represents one of the strongest growth opportunities. What You Will Be Doing • Developing a new Scottish territory from a home office base, • Visiting machining and manufacturing customers across Scotland, • Advising on tooling performance, optimisation, and application, • Supporting installations and delivering product training, • Working closely with senior sales colleagues during your development period, • Representing the business at exhibitions and industry events Over time, you will transition into full ownership of your region. What You Bring • A hands on machining background such as CNC Programming, Setting, Manufacturing Engineering, or Workshop Management, • Strong understanding of tool clamping, milling, or metal cutting technology, • Confidence speaking with engineers and production managers, • A desire to move into a commercial role, • Drive, curiosity, and willingness to learn Previous sales experience is not essential. Technical credibility is. The Opportunity This is a structured entry into technical sales within a premium engineering brand. You will receive genuine development, exposure to international training, and the chance to build a territory with real long term earning potential. If you understand machining and want to step beyond the workshop into a commercially focused role with progression, this is worth a conversation.

DevOps Engineer / SysAdmin - IBM Cloud, AWS, Oracle Cloud, Linux, RHEL, Apache, Tomcat, Docker, Kubernetes, Java, Salt, Puppet, Chef, Terraform, MySQL, Oracle, Shell Scripting; ITIL. Contract, 12 Months+, Inside IR35, Bedfordshire / Fully Remote / UK Wide. £425 - £540 (Contract Rate) Well established business consultancy seeks Devops Engineer / SysAdmin to join a small team and lead production systems administration and DevOps tasks relating to one of its core industry data insight platforms. With multiple facets and integrations to the system the Devops Engineer / SysAdmin will manage applications deployed in a range of environments but primarily focussed on AWS and IBM Cloud. Utilising a range of skills you will: • Support production Linux / RHEL infrastructure and associated applications ensuring high availability, • Configure infrastructure environments for automation/orchestration; optimise for efficiency, • Conduct root-cause analysis of application and infrastructure faults and resolve technical problems, • Perform system upgrades across infrastructure, database and containerisation technologies, • Spin up server environments utilising automation tools such as Salt, Puppet, Chef, Terraform, • Manage AWS and IBM Cloud environments using Shell Scripting techniques and core Java where applicable, • Configure web servers and containerisation tech inc Apache, Tomcat, Docker, Kubernetes We are open to DevOps Engineer / Systems Administrators / SysAdmins from all industries to assist with the workload during a period of growth and expansion. You will work within a small team leading technical initiatives at times and bringing news skills were possible. Aside from this, you will be required to support the team in the ongoing production workload in terms of problem identification and resolution. We are searching for candidates who: • Possess strong Linux Systems Administration skills and experience: CentOS, RHEL etc, • Experience working with a range of cloud technologies inc AWS, IBM Cloud, Oracle Cloud, GCP, • Have strong scripting and management skills with a range of languages inc Bash and Java, • Be comfortable working with automation tech for infrastructure and containers inc Terraform, Puppet, Docker, Kubernetes etc, • Have worked with a range of database environments inc MySQL, Oracle, Vertica (desirable), • Possess solid core networking principles VPNs, Firewalls, Load Balancing, • Bring excellent organisation and communication skills and an awareness of ITIL We are able to offer this role to candidates across the UK to work on a fully remote basis. There will be an onboarding period at the company’s HQ (local accommodation costs provided) in the first two weeks and occasional check-ins at the companies premises on an ad-hoc basis. The contract rate stated includes a total rate for all employment costs prior to the gross pay-rate which will be paid weekly.

Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy: We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role We’re building a more intelligent, scalable product catalogue across multiple markets. Core capabilities like auto-categorisation and brand detection already exist, but they are not yet connected into a system that consistently drives quality, discovery, and growth. This role owns that system. The Senior Applied ML Engineer - Catalogue Intelligence is responsible for building the machine learning systems that power OnBuy’s catalogue decisioning engine. Working in partnership with the Head of Seller Solutions, who defines catalogue rules and commercial logic, you will design and deploy production-grade systems that automatically improve: • Product categorisation, • Product data quality and completeness, • Pricing competitiveness insights, • Catalogue coverage and selection, • Product discoverability This is a hands-on, production-focused role where outputs directly modify the live catalogue and materially impact GMV, conversion performance, search, and discovery. Core mission Turn catalogue rules and commercial logic into automated, data-driven systems that continuously improve discovery, data quality, pricing competitiveness, and revenue outcomes. What you’ll be responsible for You’ll take ownership of how product data is structured, validated, and used across the platform. This includes: • Improving how we classify and understand products at scale, • Raising the overall quality of catalogue data and defining what “good” looks like, • Ensuring product data supports effective search, filtering, and discovery, • Identifying gaps in our catalogue and surfacing opportunities for growth, • Improving how our catalogue performs across external channels, • You’ll build and evolve the systems and decision logic that enable this, and iterate based on real-world performance and data. You’ll work across: • Structured data (catalogue attributes, GTINs, taxonomy), • Unstructured data (text and images), • Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where appropriate. The focus is on shipping practical systems quickly, validating them with real data, and improving them over time. You’ll work closely with engineering, product, and analytics, but you’ll be expected to own and deliver the core logic yourself. This role is not focused on research or offline modelling. You’ll be expected to build systems that operate in production and directly influence how products appear and perform on the platform. Experience & Skills • Experience building and shipping production data or ML systems with measurable business impact, • Strong Python and SQL skills, with the ability to work across data pipelines end-to-end, • You should be comfortable applying modern approaches such as LLMs, multimodal models, and information extraction techniques, and taking them from experimentation into production with proper evaluation, monitoring, and cost control., • Experience working with messy, unstructured or semi-structured data (e.g. text, images, product data), • Ability to design systems that make decisions, not just predictions, • Strong judgement in balancing accuracy, risk, and business impact, • Experience with ecommerce or marketplace catalogues is a plus, but not required. How you’ll operate • Take ownership of problems end-to-end, from idea through to production impact, • Build systems that are scalable, testable, observable, and auditable, • Design automation with confidence thresholds, monitoring, and feedback loops in mind, • Maintain clear documentation, evaluation frameworks, and versioning for models and logic, • Work pragmatically, favouring simple solutions that deliver impact quickly, • Communicate trade-offs clearly to technical and non-technical stakeholders, • You should be comfortable working in environments where data is incomplete, inconsistent, and constantly evolving., • You’ll be working across cloud-based data systems (GCP), building and deploying data pipelines and production ML workflows. Experience with orchestration tools (e.g. Airflow or similar), CI/CD, and model deployment practices is beneficial. The salary on offer for this role is £65000- £75000 depending on experience. We also offer the following benefits: • Company Equity- In return for helping us to grow, we’ll offer you company equity, meaning you own a piece of this business we are all working so hard to build., • 25 days annual leave + Bank Holidays, • 1 extra day off for your Birthday, • Employee Assistance Programme, • Perks at Work benefit platform, • Opportunities for career development and progression This role is UK remote or Hybrid if you live near our Manchester or Bournemouth's offices. Please only apply if you have the full right to work in the UK Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. Just a heads up — we never use WhatsApp. or any messaging apps to contact candidates If someone reaches out this way, it isn’t us and let the recruitment team know.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! Key Responsibilities: In collaboration with the other safety expert(s): • Lead the functional safety activities for Wayve’s ADS, and its integration into present and future vehicle platforms, or the integration of third party safety-critical systems. This involves:, • Working with various internal and external teams to gain a deep understanding of the system under development to build the Item Definition work product for each platform., • Conduct risk assessments (HARAs, FMEAs, FTAs) to identify the risks and build a safety concept to mitigate the risks to an acceptable level., • Work with internal design teams to build a system architecture that meets the safety concept including decisions on decompositions, deriving relevant SW and external requirements., • Support internal SW teams in implementing the safety requirements on target HW., • Define test specifications at various levels of integration to verify and finally validate the safety concept., • Define the Safety case by building a structured claims, arguments and evidence based paradigm., • Contribute to developing the safety work products for production projects with similar activities as defined above., • Work with the process and compliance teams to update the safety processes for certification activities. In order to set you up for success as a Functional Safety Engineer at Wayve, we’re looking for the following skills and experience. Essential: • Very good understanding of the functional safety development process as per ISO 26262 with a minimum 5 years of experience in applying the standard on different automotive systems; in particular parts 3, 4, 5, 6, 8 and 9., • Experience in conducting vehicle level testing activities at proving grounds to verify and validate the safety concept. Desirable: • Expertise in ISO 26262-6; the candidate must have practical experience in developing or leading the development of ISO 26262 compliant production software and in the qualification of software tools., • Experience in managing suppliers of safety related hardware or software elements (DIA design, supplier audit and assessment, project management))., • Knowledge and experience in developing the safety case of an AD systems, in particular:, • Experience in developing the safety concept for a computer vision based system, • Sufficient knowledge of neural networks (architectures, algorithms, training and testing pipeline) to understand the challenges associated with the safety assurance of such systems and discuss options and rationales with our scientists, • Experience in SOTIF, especially in identifying SOTIF triggering conditions through analysis and defining testing and validation strategies to assess SOTIF performance., • Operational safety experience, such as identifying the operational risks and designing training and operational procedures to ensure the safety of testing on public roads, is a plus. About Yourself: • You are truly passionate about Safety and making the world a safer place your mission; this is reflected in the way you choose terms appropriate to your audience, present the essence of system safety and formulate the key takeaway messages., • You are pragmatic, you understand the need to balance risk versus benefits, even more so in a startup environment., • You are comfortable in debating with other stakeholders safety-related trade-offs, at any level of the development process and at any level of the organisation., • You are self-starter, autonomous in thoughts but collective in action., • You are able to think and work at various abstraction levels; thinking “blue sky” and paving the way for long term safety goals, or diving deep into technical details to provide clear guidance and solutions on the safety activities for the development of a subsystem (e.g. controller) or launching an application (robotaxi), • You are confident in challenging others’ ideas and views, but equally, are open to constructive criticism and able to reconsider your opinions or beliefs. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. #LI-KM1 We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Amber is an entirely new way of thinking about buying, banking and selling energy where home energy technology works to put money back in customers’ pockets and accelerate the renewable energy transition. We’re an Australian headquartered company, where we are both an energy technology company and a utility providing energy directly to households and small businesses. In Australia (the world leader on rooftop solar and a 2-way energy grid), we’ve proven that the cheapest, fastest and most rewarding way to reach 100% renewables is to automate the growing wave of home batteries, EVs, and other smart energy devices. Customers get direct access to the real-time electricity prices and the technology to shift energy usage to the times when cheaper renewables are available in the grid and export to the grid at times when the price they can be paid for it is highest. We are a clear market leader in energy automation in Australia, and are now partnering with utilities across Europe to bring our technology to European markets and consumers. We’re at a critical moment in taking the business to scale in Europe. You’ll be joining a rapidly growing regional team of 15, and be part of a global team of over 220, with expertise across energy, technology, marketing, and operations. We’re committed to building a diverse and inclusive workplace and a great culture of people who love coming to work to build a better world. We’re backed by leading VCs in Australia and Europe, as well as impact-focused investors and world-leading energy companies. At Amber, we believe that enabling a culture where everyone is set up to do the best work of their lives, and feels connected and supported, is one of the most important things we can do to ensure our long-term success. Want to help improve the environment by shifting the world’s energy usage towards renewables? We are currently hiring for a Full Stack Software Engineer. Amber provides a great opportunity to apply your skills as an Engineer to help enable the uptake of renewable energy. Our technology optimises thousands of batteries and other devices in the customers' homes, enabling them to time their usage to consume power at times of high renewable penetration (and cheap prices), and then export power back to the grid at critical times - letting them outbid energy generators and earn potentially >£50 in an afternoon. The Amber Electric product team develops and supports: • Home automation integrations (to batteries, hot water systems and pool pumps, with EVs coming soon) that control electricity usage in response to pricing and renewable availability, • Mobile & Web apps for customers to monitor and manage their energy usage, • A pricing and billing engine for real time energy pricing The tech stack is React Native mobile app, some React web frontends, and a Serverless Lambda backend on AWS. We’re using Typescript top to bottom, and Apollo GraphQL sits in the middle. We keep our data in DynamoDB, Postgres, and Snowflake, using one or the other as best suits a particular workload. You can learn more about our tech stack at _ While we’re looking for talented and driven individuals our desire is to build a champion team, not a team of champions. We’re full-stack-ish; while it’s impossible for everyone to excel across every layer of the stack we value people who can chip in wherever they’re needed. We’re committed to building a diverse and inclusive workplace from the ground up. We want engineers who are as comfortable communicating with people as they are with their code. At Amber, we want to hire self-starters who are eager to learn, and are comfortable working in a changing environment. Some of the key traits we are looking for in this role: • You have a positive mindset: equal parts curious, collaborative, and can-do, • Between 3 and 5 years of commercial development experience in either Web or Mobile environments, • Commercial experience with the specific technologies in our stack is a strong plus, • Experience with languages sharing features with Typescript is also a plus (such as JavaScript, C#, Go, or similar), • We favour generalists who can be flexible across the stack, both frontend and backend, • Strong verbal and written communication skills built on a foundation of empathy for your fellow humans is essential, with English proficiency of C1/C2 level at a minimum, • Additional language skills, particularly in European languages, are a bonus and may support broader team and customer engagement., • Write and maintain high quality program code across the stack in the areas of your specialty, • Flexibly contribute outside your specialty in other areas of the stack supporting your team when they need it, • Work collaboratively with your peers in product and across the wider company to ensure you're always shipping the right thing the right way at the right time, • Research, consult, analyse, and evaluate our system requirements, • Test, debug, diagnose, and correct errors in our tech stack according to our operational specifications, • Support the app across the whole lifecycle from idea through to production, • The role will see you working directly with external clients while collaborating across internal teams, including leadership, product, design, and engineering to deliver impactful solutions., • We’re committed to building a diverse and inclusive workplace and a great culture of people who love coming to work to build a better world, • Join a growing technology start-up that will shape the future of household renewable energy use, • You’d be a part of a growing team of over 220 people with expertise across energy, technology, marketing, and operations, • Flexible working hours & remote working - see "How You Work" for more info, • Competitive salary within your local market, • Share options in Amber Electric, • Employment and leave entitlements as per your local country, • An external Employee Assistance Plan for mental health support, • Annual Learning & Development budget to support your personal growth, • Annual company conference in Melbourne, Australia. Between £45,000 and £70,000 base per annum. All roles at Amber include employee stock options. This is a full-time role to be based ideally from the UK/Germany/Netherlands. We do have a co-working space in London where we work flexibly between the office and home. You will be working predominantly remotely within a high-trust environment where transparency and accountability are foundational to our engineering culture. Amber's flexible approach allows you to shape your schedule around core collaboration hours, which are 7am - 12pm Tuesdays and Thursdays London time. This overlap enables meaningful collaboration with your Australian colleagues. Outside these core hours, we trust you to manage your time effectively. We focus on outcomes and impact rather than hours logged, but we do expect consistent communication and reliable delivery on commitments. Regular check-ins and transparent progress updates are part of how we maintain this balance of freedom and responsibility. We value work-life balance and sustainable pace—we don't want team members to overwork or burn out, nor do we expect you to be available 24/7. Instead, we promote clear boundaries and open dialogue about workload and capacity. Our headquarters is located in Melbourne, Australia, with a second co-working office/space in Sydney, Australia. Our European team operates from a central London hub that you will travel to during your onboarding, and approximately every 2 months thereafter for team collaboration. These in-person sessions help strengthen relationships and reinforce our collaborative culture. We also have AmberCon every year, this is a big team calendar event and we will fly you to Melbourne to be there with the rest of the team. We will always cover flights, accommodation and other travel costs as part of our travel policies. If this kind of work gets you excited, we'd love to hear from you! Even if you don’t meet 100% of the requirements listed above, we still encourage you to apply. We're open to all backgrounds and encourage people from underrepresented groups to apply. We never discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Please include your resume and a cover letter and tell us: • One specific way you could use your technical skills to improve a household's energy use under the Amber model. Our process will generally be as follows: • A screening interview with our talent team, • A take-home technical challenge that should take no longer than four hours, • A follow up interview with two members of the engineering team, • A culture interview with two members of the engineering leadership team We promise to be respectful of your time as an applicant while trying to be as thorough as possible in finding the right fit for our team. Only applicants with full working rights in the UK/Europe region will be considered for the role. Shortlisted candidates will be contacted promptly. All other applicants will also be notified of the outcome as soon as possible. No recruitment agencies please. We are already working with our preferred partners. Thank you! 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.

Hi, we’re Smoove, part of the PEXA Group.Our vision is to simplify and revolutionise the home moving and ownership experience for everyone. We are on a mission to deliver products and services that remove the pain, frustration, uncertainty, friction and stress that the current process creates. We are a leading provider of tech in the property sector - founded in 2003, our product focus has been our conveyancer two-sided marketplace, connecting consumers with a range of quality conveyancers to choose from at competitive prices via our easy-to-use tech platform. We are now building out our ecosystem so consumers can benefit from our services either via their Estate Agent or their Mortgage Broker, through smarter conveyancing platforms, making the home buying or selling process easier, quicker, safer and more transparent Why join Smoove?Great question! We pride ourselves on attracting, developing and retaining a diverse range of people in an equally diverse range of roles and specialisms – who together achieve outstanding results. Our transparent approach and open-door policy make Smoove a great place to work and as our business expands, we are looking for ambitious, talented people to join us. We are looking for a technically proficient Senior Data Engineer to join our growing Data team. Your primary focus will be on ensuring data quality, stability, and reliability — from the moment data arrives in its rawest form to when it is used in decision-making dashboards and customer-facing reports. You will optimise the transformation pipeline from start to finish, guaranteeing that datasets are robust, tested, secure, and business-ready.Our data platform is built using Databricks, with data pipelines written in PySpark and orchestrated using Airflow. You will be expected to challenge and improve current transformations, ensuring they meet our performance, scalability, and data governance needs. This includes work with complex, nested data structures, ensuring they are reliably parsed and transformed. Experience in managing sensitive data (PII) and implementing GDPR policies is required. You’ll work closely with analysts, engineers, and business stakeholders to ensure that datasets are not only accurate but also trusted. You will collaborate with product and engineering teams to incorporate data from new products into our core business datasets, ensuring that these new sources meet our data standards and are quickly usable for business intelligence. You’ll help put controls in place — such as access policies, metadata layers, and automated data quality checks — to ensure long-term stability. Experience with a data governance platform like Alation is desirable. While predominantly remote / home based the team meet up to 20-25 days per year for meaningful collaboration in either Leeds or Thame. • Ensure end-to-end data quality, from raw ingested data to business-ready datasets, • Optimise PySpark-based data transformation logic for performance and reliability, • Build scalable and maintainable pipelines in Databricks and Airflow, • Implement and uphold GDPR-compliant processes around PII data, • Collaborate with stakeholders to define what "business-ready" means, and confidently sign off datasets as fit for consumption, • Put testing strategies in place to detect data issues early and often, • Contribute to access management, metadata management, and wider data governance practices, • Help shape our approach to reliable data delivery for internal and external customers, • Extensive hands-on experience with PySpark, including performance optimisation, • Deep working knowledge of Databricks (development, architecture, and operations), • Proven experience working with Airflow for orchestration, • Proven track record in managing and securing PII data, with GDPR compliance in mind, • Experience in data governance processes; Alation experience preferred, but similar toolswelcome, • Strong SQL skills and experience optimising complex queries, • Strong experience in handling and transforming semi-structured data, • High competency in programming, with a focus on clean, efficient, and production-quality code, • Demonstrated ability to work with stakeholders to understand data needs and guide the validation and delivery process, • Experience implementing and maintaining data quality tests and monitoring solutions, • Strong verbal and written communication skills, • Ability to think holistically about data reliability and how it serves business decisions £65,000 - £75,000 a yearSound like you? We at Smoove are ready so if this role sounds like you, apply today. GDPR Compliance Digital Completion UK Limited (trading name “PEXA”), Optima Legal Services Limited (trading name "Optima Legal") and Smoove Limited (a holding company which comprises of the following wholly owned trading Subsidiary companies: United Legal Services Limited, United Home Services Limited, Legal-Eye Limited, and Amity Law Limited) are all owned directly by DigCom UK Holdings Limited, which is a wholly owned Subsidiary of PEXA Group Limited in Australia (ACN 140 677 792; ASX: PXA) (referred to collectively as “PEXA Group”). When we process your applicant personal data for recruitment purposes, we do so as a controller. If as part of the recruitment process, we share your personal data with another company within the PEXA Group, that company may process your personal data as either an independent controller or, in certain circumstances, a joint controller. By applying for this role, you consent to us processing your personal data in accordance with the UK General Data Protection Regulation ("UK GDPR") and the Data Protection Act 2018, and further information can be found in our privacy notice_.

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 .

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

Senior DevOps Engineer - AWS (SC Cleared) Location: Remote Work Pattern: Full time permanent or contract Security Clearance: Must hold active SC Clearance The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff. About the Role: We are looking for an experienced AWS DevOps Engineer to join our team. The ideal candidate will be responsible for the automation, deployment, scaling, and management of cloud-based applications and infrastructure on AWS. You will work closely with development, QA, and IT teams to ensure smooth and reliable operation of software and systems. Key focus areas include AWS cloud services, Kubernetes orchestration, Helm for managing Kubernetes applications, Docker, GitLab CI/CD, and API Gateways. Roles and Responsibilities: • Design, implement, and manage highly available, scalable, and secure infrastructure on AWS. Utilise services such as EC2, S3, RDS, Lambda, and CloudFormation to automate deployment and scaling of cloud-based applications., • Manage Kubernetes clusters across multiple environments. Automate the deployment, scaling, and management of containerised applications using Kubernetes, ensuring optimal performance and availability., • Use Helm to package and deploy Kubernetes applications. Create and manage Helm charts for deploying microservices, ensuring version control, rollback capabilities, and configuration management., • Build, deploy, and manage Docker containers for application development, testing, and deployment. Ensure seamless integration of Docker containers within Kubernetes environments., • Set up, configure, and manage AWS API Gateway to expose and manage APIs. Work with the development teams to ensure secure and optimised communication between microservices and external systems., • Develop and maintain CI/CD pipelines using GitLab to ensure continuous integration, delivery, and deployment of applications. Collaborate with the development team to optimise pipeline efficiency and ensure code quality., • Implement monitoring solutions using AWS CloudWatch, Prometheus, Grafana, or similar tools to ensure visibility into application performance, health, and security. Troubleshoot production issues and provide resolution., • Ensure the security of cloud infrastructure by implementing best practices like IAM roles and policies, encryption, and regular security assessments. Maintain compliance with relevant regulations and standards., • Work closely with software developers, QA engineers, and IT teams to define infrastructure needs and support software releases. Maintain clear documentation for infrastructure, processes, and procedures. Required Skills & Qualifications: AWS Expertise: • Strong hands-on experience with AWS cloud services (EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, etc.). AWS certifications are a plus. Kubernetes Experience: • Proficient in managing Kubernetes clusters and deploying containerised applications using Docker and Kubernetes. Experience with multi-cluster environments and Kubernetes troubleshooting. Helm Proficiency: • Strong knowledge of Helm for packaging and deploying Kubernetes applications. Ability to manage complex Helm charts for microservices architecture. Docker Experience: • Hands-on experience with Docker for building, managing, and deploying containers. Knowledge of Docker Compose and container orchestration within Kubernetes environments. GitLab CI/CD: • Experience with building and managing CI/CD pipelines using GitLab. Strong understanding of continuous integration and delivery processes, including automated testing, code linting, and security checks. API Gateways: • Hands-on experience configuring and managing API Gateways, particularly AWS API Gateway. Familiarity with API security, throttling, and monitoring. Automation & Scripting: • Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience automating infrastructure tasks using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. Monitoring & Logging Tools: • Experience with monitoring and logging tools such as AWS CloudWatch, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana). Benefits: • Join a rapidly expanding start-up where personal growth is a part of our DNA., • Benefit from a flexible work environment focused on deliverable outcomes., • Receive private medical insurance through Aviva., • Enjoy the benefits of a company pension plan through Nest., • 25 days of annual leave plus UK bank holidays., • Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources., • Participate in a generous employee referral program., • A highly collaborative and collegial environment with opportunities for career advancement., • Be encouraged to take bold steps and embrace a mindset of experimentation., • Choose your preferred device, PC or Mac. Diversity & Inclusion: Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes: • Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued., • Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all., • Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace. By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities. What Happens Next? Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.

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 _.

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 .

Bloom & Wild is re-inventing the $60B global flower industry. Over a billion flower exchanges take place every year and industry satisfaction levels are low. Driven by our vision of creating the destination for making life a little more thoughtful and beautiful, we do things differently. From inventing letterbox flowers to founding The Thoughtful Marketing Movement. And we’ve seen impressive traction to date - we are Europe’s largest direct to consumer flower company. In January 2021 we announced our £75 million Series D funding round, led by General Catalyst (backers of Airbnb and Deliveroo), alongside other top tier investors including Index Ventures (investors in Wise and Glossier). We are home to a family of 3 strong brands, Bloom & Wild, bloomon and Bergamotte, having acquired bloomon in April 2021 and Bergamotte in July 2021. Together, we are active in 8 countries. We were named one of the 5 fastest growing tech companies in Europe and are alumni of Tech Nation’s Future Fifty. We were also one of the Sunday Times Top 100 Small Companies to Work For 2020. We really care about creating a diverse and inclusive team and we welcome people from all backgrounds, with different perspectives, ideas and experiences to work with us. In our team, everyone has the freedom to give their opinion, grow in their career and be part of a genuinely caring and inclusive team. Tech Team @ Bloom & WildOur Technology team sits at the heart of our business, building and maintaining the solutions that power e-commerce, production, and fulfillment. Our platform uses technologies including Ruby and Rails and Python/React, backed by PostgreSQL, Fargate/ECS on AWS, and Cloud Run on GCP. It exposes APIs that are used by our multi-brand Angular webapp and our native iOS and Android mobile apps. We’re also looking at developing new domain-driven services & microservices where applicable. Our Product Engineering team is organised into cross functional squads, each responsible for a business and architectural domain, supported by Platform and Data Engineering. You’ll join the Range squad, a cross-functional team within our Ops-Tech group. We focus on the internal systems that power range representation, product allocation, and stock management — a core domain of our business that directly influences what our customers see and receive. Our work connects closely with many other squads across Bloom & Wild, as we support the smooth flow of products from planning through to delivery. Most of our team is based in the UK and works in a flexible model, with choice in how often they travel to the office. Our squads meet all in person at least once per quarter in order to maintain connections, collaborate on larger projects and have fun together. You can read lots more about our technology stack and our culture over on our tech blog - _. 💻 What you’ll be doing…As a mid-level engineer in our Range squad, you’ll help build and maintain the internal tools that power our warehouse operations — from bouquet assembly to order fulfilment across multiple countries. • Working closely with our product manager, engineers, and stakeholders to understand real-world needs and translate them into working software., • Building and improving our internal tools using Ruby on Rails and related technologies., • Making iterative improvements to our monolith while contributing to the development of new features to support our rapidly expanding curated range of products., • Writing clear, tested, secure, maintainable code and participating in code reviews to ensure high-quality solutions., • Exploring new ideas and opportunities to improve our monolith and workflows., • Helping to shape our technical decisions by sharing your ideas and contributing to discussions about architecture, tooling, and best practices., • Contributing to technical discussions and helping ensure our solutions align with our technical strategy and business goals., • Collaborating with your squad to deliver work in small, valuable increments — using agile practices and modern tooling., • Monitoring, debugging and improving the performance of our systems with observability tools., • You are a Ruby developer (2+ years of experience) with good knowledge of Ruby on Rails in a production environment and are keen to keep growing your expertise., • You have experience working with RESTful APIs, version control tools such as GitHub, and testing tools like RSpec., • You’re curious about how things work — whether it’s diving into a new tool, exploring performance improvements, or figuring out how real-world problems translate into code., • You want to work in a kind, inclusive, and supportive environment where people care about their work and each other., • You have experience working in a fast-growing (preferably consumer-facing) startup / scaleup., • You have experience of distributed service architectures, including how best to test and release them, and how to ensure system stability when making changes independent of other services.Why Bloom & Wild?To care wildly for our customers, first we care wildly for our teams. We work hard to craft a culture of thoughtfulness and care, where there is a strong sense of inclusion and belonging, enabling all of our people to thrive and be successful each day. 🌻Work that works for you - Flexible working : our core hours are 10-4, but outside of these hours you can start or finish your day when works best for you- Work Abroad for up to 30 days each year - Share in our success with a choice to take equity options from day 1- Enhanced family leave policy and a workplace nursery scheme- 1 day per year to volunteer on a project that’s close to your heart 🌴 Time off- 25 days’ holiday + your birthday and bank holidays each year- Option to buy an extra 5 days’ holiday each year - Flexible bank holidays - trade a bank holiday for another day that fits your beliefs, values and celebration calendar 🌱 Health & Wellbeing- Health cash plan through Simplyhealth- Mental health support through Open Up, including access to online therapy sessions- Allies and champions groups- Mental Health First Aiders and awareness training for our managers - In person or virtual yoga every week- Cycle to work scheme- Electric car scheme- Our office kitchen is stocked with drinks and snacks to keep you going- Financial wellbeing support through Bippit- Workplace pension contributions 🌳 Growth & Development- A flexible training framework for every stage of your career development through our Bloom & Learn programme- Access to the Goodhabitz learning platform- Mentee and mentor opportunities with our external partners, such as The Women's Association and Future Founders- Internal & external Speaker Sessions on a variety of different inspirational topics 💐 Moments that matter- Social & wellbeing monthly calendar- Summer and End of Year events, team lunches and post-peak celebrations- Irresistible discounts on our products, blooms & subscriptions! SponsorshipWe're proud to hold an A-rated sponsor license, so we can assign certificates of sponsorship. This means we can support applications from anywhere as long as the job is deemed suitable under the points based system. 🫱‍🫲 Getting hired We’ll do everything we can to make sure your interview experience with us is a good one. It’s a 2-way process, and we’re keen to answer all of the questions you may have, so that you can be sure (and excited!) that we’ll be the right place for you. If your application is successful you can expect: • The majority of our A chat with Leroy, our Talent Consultant for Tech - to discuss our role and learn a bit more about your skills and background and how we might match your career & development goals.- An interview with Tonci, our Engineering Manager to get into more of the detail.- A chance to show us how you work through a technical challenge, which can be a live paired coding/whiteboard session.A final chat with our CPTO or VP of Engineering. We believe in leading change for good, so do let us know if there’s anything we can do to support your application process. Also, if you have any feedback, please help us to improve our candidate experience by sharing (anonymously) _.

We’re recruiting for an experienced Electronic Design Engineer to join an electronics company based in Littlehampton. The ideal candidate will have previous experience of working as a Design Engineer, managing projects and deal with the concept through to production. You must have a Bachelor’s degree or equivalent in Electronic Engineering or related field. This is a great opportunity for a candidate that wants to develop and grow within a business as the company is growing at a very fast pace. As an Electronic Design Engineer, your key responsibilities will include: • Designing and developing electronics devices, systems and circuits, • Creating and reviewing design specs and technical documentation, • Working with other departments to define project deliverables and requirements, • Troubleshooting and resolving design and technical issues, • Ensuring all designs comply with relevant safety regulations Requirements: • Bachelors degree or equivalent in Electronic Engineering or similar, • Previous experience working as a Design Engineer, • Strong communication skills both written and verbally, • Proficiency in using design software such as, Eagle, Altium or similar Benefits: • 20 days annual leave + bank holidays + closed over the Christmas period, • Free onsite parking, • Work from home 1x a week, • Yearly bonus scheme This is a full time permanent position working Monday to Thursday 9am to 5:30pm with a 3pm finish on Friday’s. The role is based in Littlehampton. Wild Recruitment Ltd T/A First Recruitment Services is acting as an employment agency in relation to this vacancy.

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

Flosum is a Salesforce-native DevOps and data protection platform serving enterprise Salesforce teams across the Fortune 5000. We are in wartime. Pipeline generation, retention, and product velocity are our three highest-priority problems, and AI is the lever that accelerates all three. We are hiring our first AI Go-to-Market Engineer to architect, deploy, train, and continuously optimize AI agents and automation across the entire revenue engine — from first touch to closed-won to expansion. This is not a "prompt engineering" role. This is a builder role. You will sit at the intersection of revenue operations, sales, marketing, and customer success, and your job is to make every human on the GTM team dramatically more productive by deploying AI systems that generate pipeline, accelerate deals, and reduce churn. You report directly to the CEO. WHAT THIS ROLE MUST DO TO CHANGE FLOSUM'S TRAJECTORY • Deploy and personally train at least one AI SDR agent within the first 30 days — focused on either inbound qualification from Qualified/Marketo or outbound prospecting via Outreach — and run weekly refinement cycles until it outperforms the bottom half of the human BDR bench., • Build an AI-powered inbound qualification system that captures, scores, and routes every website visitor and form fill in real time so no lead waits, no lead gets lost, and AEs only touch prospects that are ready to buy., • Increase revenue-generating time per AE from the current ~25% to 50%+ by automating CRM hygiene, call summarization (via Gong), follow-up sequencing, proposal drafting, and pipeline updates — eliminating every minute of admin work that doesn't directly produce revenue., • Architect the AI layer across Flosum's GTM stack (Salesforce, Marketo, Outreach, Qualified, Gong) so that data flows between systems without manual intervention, every customer touchpoint is captured, and AI agents share learnings in a virtuous loop with Salesforce as the hub., • Build and maintain an AI-driven competitive intelligence engine that monitors our competition, pricing changes, and product launches — and feeds structured insights to sales and product weekly., • Create hyper-personalized outbound campaigns at 10x current volume without proportional headcount increase — using AI to research accounts, generate personalized messaging based on ICP signals (Salesforce team size, current DevOps tooling, compliance requirements like DORA), and sequence multi-channel touches across email, LinkedIn, and phone., • Instrument a closed-loop data feedback system between BDR activity, pipeline outcomes, and AI agent performance so that ICP targeting, messaging, and channel mix improve every week based on actual conversion data — not guesswork., • Deploy AI-assisted customer health scoring and churn prediction models that flag at-risk accounts before renewal, feeding Terry's CS team with actionable intervention triggers tied to usage data, support ticket patterns, and engagement signals., • Prototype AI-powered product-led growth touchpoints — including conversational qualification on the website, self-serve onboarding assistance, and automated nurture for trial users — supporting the PLG motion as it matures., • Evaluate, select, and deploy no more than two AI vendors per use case using a structured bakeoff methodology: reference checks via email, FDE conversations before contract, and 30-day dedicated training commitments — no lazy agency deployments. Hands-on experience deploying and training AI SDR/BDR agents in a real B2B sales environment — not evaluating, not advising, actually deploying and iterating weekly for at least 90 days. Deep working knowledge of the modern B2B GTM stack — specifically Salesforce (as CRM and data hub), Marketo or equivalent MAP, Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer, but you need to ship working code, not just configure no-code tools. Understanding of pipeline math and unit economics: you should be able to work backward from a revenue target to SQLs required, conversion rates by stage, and the specific AI interventions that move each number. If someone says "we need 67 SQLs per quarter at 20% win rate and $75K ASD," you should immediately know where AI can compress that funnel. Experience with AI agent orchestration — managing multiple AI agents working different segments or functions simultaneously, resolving conflicts, preventing duplicate outreach, and maintaining data quality in the hub (Salesforce). Demonstrated ability to build prompt libraries, training datasets, and refinement workflows for AI agents — treating agent training as a discipline, not a one-time setup. Comfort operating in a company doing ~$4M ARR with a small, high-intensity team. You will not have a large support staff. You will do the work yourself and scale through automation, not delegation. Strong opinions on when AI should replace human effort versus augment it — and the judgment to know that bad AI automation destroys deals faster than no automation at all. Familiarity with the Salesforce ecosystem — understanding of DevOps, CI/CD, data protection, and compliance workflows is a major advantage. You don't need to be a Salesforce admin, but you need to understand what our buyers care about and why Why Flosum • Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational., • Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem., • Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate., • AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next., • Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits • Competitive base salary + performance bonus, • Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement

Senior Data Engineer| AWS/Databricks/PySpark | London/Glasgow (Hybrid) | August Start Role: Senior Data Engineer Location: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or Glasgow. Start Date: Must be able to start mid-August. Salary: £80k-£90k (Senior) | £90k-£95k (Lead) About The Role Our partner is looking for a Senior Data Engineer to join a high-impact engineering team delivering scalable data solutions for complex marketing and customer insight use cases. This is an opportunity to work on cutting-edge data pipelines, cloud-native platforms and real-time data flows in a collaborative, forward-thinking environment. You’ll be involved in designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities • Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark., • Design and implement robust ETL/ELT solutions for both structured and unstructured data., • Automate workflows and orchestrate jobs using Airflow and GitHub Actions., • Integrate data with third-party APIs to support real-time marketing insights., • Collaborate closely with cross-functional teams including Data Science, Software Engineering and Product., • Champion best practices in data governance, observability and compliance., • Contribute to CI/CD pipeline development and infrastructure automation (Terraform, AWS DevOps)., • Provide input into technical decisions, peer reviews and solution design. Requirements • Proven experience as a Data Engineer in cloud-first environments., • Strong commercial knowledge of AWS services (e.g. S3, Glue, Redshift)., • Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc)., • Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting., • Hands-on experience with workflow orchestration tools such as Airflow., • Strong version control and DevOps exposure (Git, GitHub Actions, Terraform)., • Familiar with data quality tools and metadata/cataloguing (e.g. Great Expectations, Unity Catalog)., • Beneficial: MarTech domain knowledge. Notable: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or Glasgow. You must be able to start in August. Senior Data Engineer| AWS/Databricks/PySpark | London/Glasgow (Hybrid) | August Start

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