351 to 375 of 1,999 Distributed Systems Jobs in the UK

also making a significant investment to uplift and rebuild core applications on cloud platforms. Site Reliability Engineering at Goldman Sachs combines software engineering and systems engineering to build, run, and maintain high-performing, distributed, and fault-tolerant systems. As a site reliability engineer, you will play a mission … critical role in ensuring that our systems are healthy, observable, automated, and designed to scale. You will collaborate with engineering teams to improve production services, enable faster delivery of new capabilities, reduce downtime, and eliminate repetitive operational work through automation. This role sits within Core Engineering and applies ...

lead the technical direction of our cloud infrastructure and platform engineering initiatives, defining the overarching cloud strategy and architecting highly resilient, scalable, and secure distributed systems on AWS. Day‐to‐day you’ll serve as the highest level of technical escalation and be a trusted advisor to engineering … experience leading large technical projects, influencing organisational engineering culture and driving cross‐team consensus. Proven track record of designing, deploying, and maintaining large‐scale, distributed software systems and microservices architectures. Essential Qualifications Minimum of AWS Associate certification or higher. All applicants for this role must be eligible ...

small number of client engagements, working alongside experienced technology leaders, product specialists and client engineering teams. The role is hands-on. You will design systems, write production code, make architectural decisions and ship software used in real operating environments. You will: Build and launch new applications from the ground … Modernise complex and business-critical legacy platforms Develop AI-enabled products, workflows and automation Design secure, scalable cloud infrastructure Integrate with existing systems, APIs and data platforms Work directly with founders, executives and senior technical stakeholders Turn ambiguous business problems into clear technical solutions Challenge requirements and propose better ...

hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform. You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate … different providersDesign and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectoriesWHAT WE ARE LOOKING FORDeep experience building platform or infrastructure systems at scaleStrong judgement across APIs, distributed systems, data, and cloud-native architectureTrack record of leading complex cross-team technical problemsExperience integrating third ...

Markets, while simultaneously driving significant operational efficiencies. The program follows an engineering‐principles‐first approach and represents a rare chance to define the foundational systems of a world‐leading financial institution from the ground up. As trading volumes continue to accelerate, we are building a small team of ambitious … years to come. What You Will Do Design, build, and operate high‐availability, multi‐region, cloud‐native services with security and comprehensive observability (metrics, distributed tracing, structured logging) built in at every layer. Develop event‐driven architectures, multi‐stage processing pipelines, and optimized data paths for high‐throughput trade ...

product teams that depend on you. You will work with teams in London, Cupertino, and Seattle whose work spans low-level operating systems and accelerator runtimes through data-centre services, network protocols, and public APIs.You should be technically credible — you do not need to be the strongest individual contributor … system handling user content. Minimum Qualifications Experience managing software engineers, including hiring, coaching, feedback, and performance management. A strong software engineering background in systems, backend, distributed systems, or platform work, with the ability to engage deeply and specifically in design trade-offs. Demonstrated ownership of delivery ...

modern cloud-native environment. Youll play a key role in shaping architecture, driving best practices, and supporting the delivery of scalable, secure backend systems used by customers at scale. The Role As Engineering Manager, youll lead a team of Software Engineers working across cloud-native microservices and distributed … modern tools, including AI-assisted development. About You Youll be an experienced engineering leader with a strong technical background in backend or distributed systems development, ideally using Golang. Youll bring: Strong commercial experience with Golang or similar backend technologies. Previous experience in a leadership, team lead or engineering ...

Markets, while simultaneously driving significant operational efficiencies. The program follows an engineering-principles-first approach and represents a rare chance to define the foundational systems of a world-leading financial institution from the ground up. As trading volumes continue to accelerate, we are building a small team of ambitious … years to come. What You Will DoDesign, build, and operate high-availability, multi-region, cloud-native services with security and comprehensive observability (metrics, distributed tracing, structured logging) built in at every layer. Develop event-driven architectures, multi-stage processing pipelines, and optimized data paths for high-throughput trade lifecycle ...

deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production‐grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather … than model training or research. You’ll work with cutting‐edge LLM technologies, building advanced AI systems that solve complex real‐world problems through multi‐agent orchestration, intelligent tool integration, and robust production workflows. You’ll be crafting the orchestration layer that makes these systems production‐ready—handling ...

technical efforts across diverse projects for multiple Mitsubishi Electric businesses - driving architectural decisions, setting technical direction, and delivering production level platforms and the systems thereon end-to-end. You'll operate with significant autonomy, owning problems from ambiguous requirements to reliable, running software. This is a role for engineers … assistants, LLM APIs, AI-augmented workflows) to accelerate development, improve code quality, and build AI-powered features into products Architect and implement cloud-native systems using containerized deployments, infrastructure as code, and modern CI/CD practices Identify and resolve technical risks and bottlenecks proactively - don't wait ...

machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions … yours back, and making sure the UK team is never the one waiting. Our customers are defence primes and national security organisations, and the systems you build are the ones they actually use. At Applied Intuition, you will: Lead the design, development and architecture of the UK-hosted infrastructure ...

quality, governance and lineage across the platform. Design event-driven data processing solutions. Optimise data pipelines and platforms for performance and scalability. Work with distributed data systems and cloud data platforms. Collaborate with Data Scientists, Backend Engineers and business stakeholders to make enterprise knowledge accessible and usable. …/ELT pipelines BigQuery Data modelling Metadata management Data cataloguing Vector databases Event-driven architecture Enterprise search indexing Data governance and quality Data lineage Distributed systems Performance and scalability optimisation ...

variety of disciplines. About the RoleYou will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems. What You'll Be DoingRoku is seeking a world class engineer to be a true force multiplier …/release strategy, and self-service support tools. Architect and evolve, CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel/BitBake/Yocto preferred) to support multi-site engineering environments. Own and scale test and quality workflows leveraging test management systems ...

variety of disciplines. About the RoleYou will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems. What You'll Be DoingRoku is seeking a world class engineer to be a true force multiplier …/release strategy, and self-service support tools. Architect and evolve, CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel/BitBake/Yocto preferred) to support multi-site engineering environments. Own and scale test and quality workflows leveraging test management systems ...

Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain … roles (Staff/Principal level or equivalent scope) Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns System Architecture: Proven ability to design scalable, distributed ...

development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems ...

SLOs/SLIs, and advanced deployment strategies (Canary/Blue-Green).* Software Engineering Foundation: Strong background in software engineering principles, database administration, and distributed systems architecture* Certifications: Relevant senior-level industry certifications (e.g., AWS Certified DevOps Engineer - Professional, Certified Kubernetes Administrator).Just So You Know...The company presents ...

approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Builds engineering stack … programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies Practical ...

pipelines for infrastructure and application deployments. Develop automation and backend services using Python and Golang . Design and maintain RESTful APIs, microservices and distributed cloud-native applications . Work with Docker, Kubernetes and serverless technologies across AWS environments. Support relational and NoSQL databases, including database schema and deployment changes. … Implement and maintain database change management using Liquibase or similar tooling. Implement monitoring, logging, alerting and distributed tracing using technologies such as Splunk, ELK, Prometheus and Grafana . Troubleshoot production issues, perform root cause analysis and implement solutions to improve reliability and performance. Work closely with architects, developers, infrastructure ...

Technical Specialist Systems ToolsRef #59456Date postedFriday, September 18, 2026CountryUnited KingdomLocationWokingBusiness areaR&DDepartmentElectrical and Controls - System ArchitecturePosition level5 - Supervisory/Professional - (L-17)Working timeFull TimeContract typePermanentWorking pattern9am - 6pm Monday to FridaySalary.What to ExpectThis role owns and evolves the software tooling landscape for systems engineering, defining the roadmap … traceability and delivery quality.The role combines tool strategy with hands-on delivery — developing and maintaining integrated toolchains that strengthen traceability, testability and consistency across systems engineering outputs, while supporting the wider business through training, onboarding and continuous improvement of Jama-based ways of working.What You'll Do• Tooling Roadmap ...

QUANT SYSTEMS DEVELOPER – High Performance Trading InfrastructureLondon – Hybrid100,000-150,000 + bonusQuant Capital is recruiting on behalf of a leading global quant investment firm seeking a Systems Developer to join its high-impact technology group in London. This role is part of a core engineering team focused … maintaining the backbone infrastructure supporting high-performance trading and large-scale research. In this hands-on role, you will gain significant exposure to distributed systems, high-throughput computing, and low-latency infrastructure. You'll work on complex technical challenges that directly influence the firm's ability to process ...

LondonWe're working with an established technology and services business to find an AI Engineer who will help design, build, deploy and monitor AI systems in production. This is an AI Engineer role for someone with a real curiosity for AI and a firm grounding in software engineering … cost and timelines, and make sure what ships is well tested and reliable. Responsibilities as an AI Engineer: Design, build, deploy and monitor AI systems that scale across the businessWork in a cross-functional team with product, data and platform engineers, releasing software frequentlyOwn quality through rigorous automated testing ...

practices. Promote secure, scalable and maintainable software design across all teams. Support and mentor team members to drive technical excellence and continuous improvement. Production systems are reliable, observable and operationally excellent Lead root cause analysis and resolution of complex production issues. Drive improvements in system observability, monitoring and operational …/CD with GitLab Pipelines & Jenkins Observability: logging, metrics and monitoring MySQL, Apache Solr Front-end UI (e.g. Angular) Person Specification Strategic and systems-thinking mindset Excellent communication and stakeholder management skills Ability to influence through technical leadership rather than line management Proactive, pragmatic and outcome-focused Strong mentoring ...

Permutable, we're building real-time AI systems that transform large volumes of global news, market and proprietary data into market intelligence and systematic signals for financial institutions. We're evolving our technology towards a more real-time, event-driven and agent-driven architecture and are looking … S3. Build Event-Driven Architecture: Help move our architecture from scheduled pipelines towards real-time, event-driven services using messaging, queues, asynchronous processing and distributed systems. Build Infrastructure for AI Agents: Develop the infrastructure required to run increasingly agent-driven AI workflows reliably in production, including state management, task ...

Platform Engineer partners with the Analytics product engineering team to design, build and operate platform capabilities that enable our market leading high-performance, distributed computing products to run reliably, securely and efficiently at scale. This includes infrastructure automation, runtime orchestration, CI/CD enablement, observability and performance optimisation. … resilience in a regulated environment. Key accountabilities Define and execute the platform engineering strategy and roadmap aligned to analytics product needs. Design and operate distributed runtime environments including compute orchestration and workload scheduling. Implement Infrastructure as Code (IaC) and automated environment provisioning. Build and maintain CI/CD pipelines ...