901 to 925 of 2,403 Distributed Systems Jobs in the UK

integrations aligned to BNYs principles and pillars. To be successful in this role, were seeking the following: Proven leadership of software engineering teams building distributed systems and microservices in agile environments such as Scrum or Kanban. Hands-on AI development using modern tools and IDEs (e.g., Windsurf ...

integrations aligned to BNYs principles and pillars. To be successful in this role, were seeking the following: Proven leadership of software engineering teams building distributed systems and microservices in agile environments such as Scrum or Kanban. Hands-on AI development using modern tools and IDEs (e.g., Windsurf ...

managing software engineers. Demonstrated experience leading engineering teams responsible for developing and operating production software. Strong technical foundation in backend software development, APIs, distributed systems, cloud architectures, and modern software engineering practices. Experience managing software development through the full lifecycle, including planning, design, development, testing, deployment, and production ...

senior stakeholders, including Finance, and influence decisions through practical recommendationsAdditional Knowledge & SkillsPlatform & InfrastructureMaintaining Infrastructure as Code for cloud-based data platformsExposure to containerised or distributed systems (AKS advantageous), including deployment, scaling, and operational considerationsOrchestration & Version ControlOperating Airflow at scale, including DAG reliability, scheduling, and failure handlingVersion control, branching ...

managing end-to-end testing of SaaS applications, using various testing approaches (e.g., rapid, risk-based, exploratory, regression, security, usability, performance) suitable for distributed systems, with a strong understanding of the Test Pyramid and automation. Experience developing and maintaining test automation tools (e.g., contract, integration, accessibility, performance, security ...

managing end-to-end testing of SaaS applications, using various testing approaches (e.g., rapid, risk-based, exploratory, regression, security, usability, performance) suitable for distributed systems, with a strong understanding of the Test Pyramid and automation.Experience developing and maintaining test automation tools (e.g., contract, integration, accessibility, performance, security ...

when features cross stack boundaries. GraphQL Federation. We run a federated gateway across multiple subgraphs, and federation experience makes schema and subgraph work easier. Distributed systems at scale. Event-driven patterns, async processing, real-time data flows. Infrastructure as code. Terraform, Kubernetes, or similar. Quick commerce or similar ...

that powers it demands the highest standards of reliability, performance, and scale. Here, you will work alongside talented engineers who are passionate about building systems that never sleep — and you will have the opportunity to grow your career while solving some of the most complex infrastructure challenges … that powers it demands the highest standards of reliability, performance, and scale. Here, you will work alongside talented engineers who are passionate about building systems that never sleep — and you will have the opportunity to grow your career while solving some of the most complex infrastructure challenges ...

develop the full stack needed to enable a global trading operation with high availability requirements. You will be expected to design and develop trading systems, market data connectivity, execution algorithms, research infrastructure, monitoring and observability tooling, and integrations with DRW’s core services. The team’s existing systems … with researchers, traders, and other software engineers Provide on-call support as needed Qualifications 5+ years of professional C++ experience Built complex, mission-critical systems in modern C++ that are maintainable and safely refactorable A deep understanding of concurrency concepts and their applications in C++ and Python A working ...

market data needed to produce the firm’s risk. The majority of development is done in Python. The ideal candidate brings deep knowledge of distributed systems and data structures, and can optimize for performance, reliability, and cost. Primary Responsibilities Design, implement, and support scalable Python‐based risk engines … reference, and market data stored in Snowflake databases. Optimize the risk generation process to deliver accurate risk results in the least possible time. Optimize distributed computation using strong data structures and algorithms. Reconcile risk results produced by the new Orchestration platform with metrics from legacy internal risk systems ...

Cloud Infrastructure rolesStrong Kubernetes knowledge in production environmentsHands-on experience with Azure cloud technologiesTerraform and Infrastructure as Code expertiseExperience building and supporting scalable distributed systemsStrong CI/CD and automation experienceExcellent troubleshooting and problem-solving skillsA collaborative mindset with strong communication skillsExperience working within fast-paced engineering teams ...

backend services and cloud-native applicationsStrong coding proficiency in TypeScript, Python, C#, or similar technologies, with experience building scalable application programming interfaces, microservices, and distributed systemsPractical experience building enterprise AI applications using large language models, including agents, retrieval augmented generation, orchestration frameworks, and model optimizationDemonstrated ability to own services ...

additional experience in the following areas would be advantageous: Familiarity with DynamoDB. Knowledge of event-driven architecture and messaging patterns. Experience developing microservices and distributed systems. Exposure to CRM platforms or customer service applications. Candidate Profile: Our client is looking for engineers who are: Product-minded, focused on delivering ...

additional experience in the following areas would be advantageous: Familiarity with DynamoDB. Knowledge of event-driven architecture and messaging patterns. Experience developing microservices and distributed systems. Exposure to CRM platforms or customer service applications. Candidate Profile: Our client is looking for engineers who are: Product-minded, focused on delivering ...

global finance.We welcome professionals with experience in one or more of the following areas:Software EngineeringCloud & Platform EngineeringSite Reliability Engineering (SRE)AI & Machine LearningArchitecture & Distributed SystemsBring your curiosity, expertise, and ambition—and help build what's next for global investment and market intelligence.ABOUT US:LSEG (London Stock Exchange Group ...

them when features cross stack boundaries.GraphQL Federation. We run a federated gateway across multiple subgraphs, and federation experience makes schema and subgraph work easier.Distributed systems at scale. Event-driven patterns, async processing, real-time data flows.Infrastructure as code. Terraform, Kubernetes, or similar.Quick commerce or similar domain. Logistics, on-demand ...

software solutions in controlled increments (e.g., following Scrum, Agile Delivery phases, GDS Service Manual, etc.). Broad understanding of modern programming languages, leading frameworks, distributed system architectures (e.g., microservices), and the full software development lifecycle, including use of CI/CD pipelines and automated testing Strong planning skills, with ...

modern web frameworks (React, Next.js, Angular, Node.js, Express) on cloud-based technology, such as AWS and GCP.Experience of building large scale and low latency distributed systems.Solid understanding of algorithms, data structures, performance optimisation techniques, object-oriented programming.Experience using modern AI-assisted and agentic development workflows ...

frameworks (React, Next.js, Angular, Node.js, Express) on cloud-based technology, such as AWS and GCP. Experience of building large scale and low latency distributed systems. Solid understanding of algorithms, data structures, performance optimisation techniques, object-oriented programming. Experience using modern AI-assisted and agentic development workflows ...

expertise in multiple programming languages (preferably Python, Go, and TypeScript), frameworks, and tools.* Strong understanding of both SQL and NoSQL databases.* Proven experience with distributed systems, event-driven architectures, container-based micro-services, distributed logs, SQL and NoSQL databases, and DevSecOps.* Experience working in a product focused ...

skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling)Experience running AI systems in production at scale, including observability, cost and capacity planning, regression detection, and incident response for AI-powered applicationsExperience operating production distributed systems ...

skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience running AI systems in production at scale, including observability, cost and capacity planning, regression detection, and incident response for AI-powered applications Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability, and incident response at scale Deep knowledge of cloud-native technologies, serverless applications, event-driven architectures, data and inference pipelines, relational, NoSQL, and vector databases, and modern software architecture patterns Proven track record of owning multi ...

skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience running AI systems in production at scale, including observability, cost and capacity planning, regression detection, and incident response for AI-powered applications Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability, and incident response at scale Deep knowledge of cloud-native technologies, serverless applications, event-driven architectures, data and inference pipelines, relational, NoSQL, and vector databases, and modern software architecture patterns Proven track record of owning multi ...

high-quality releases. Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams. Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post-release quality validation. Champion quality best practices across engineering teams, fostering … managing, and maintaining test data strategies and mock services to ensure stable, isolated, and repeatable test execution. Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP). Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize ...

squad. We are building the financial backbone that other things will stand on. We need a strong Senior/Lead Engineer (ideally with financial systems experience) who can take ownership of figuring out the right ways to build a robust Collections & Treasury foundation that can scale with us. Your … keeping projects moving end to end Make pragmatic trade-offs: move fast where we can, protect correctness where we must (especially in financial systems) What this role is not To set you up for success, we want to be explicit about how engineering works here: We build depth before ...