726 to 750 of 1,968 Distributed Systems Jobs in England

experience It would be great if you already have: - Cloud platform experience (Azure, AWS or GCP). Docker and Kubernetes exposure. Microservices and distributed systems experience. Knowledge of payment, loyalty or e-commerce platforms. Experience with technical leadership or team development. Our benefits if you decide to join ...

datasets Foundry applications and Workshop Strong programming expertise in: Python PySpark Experience building custom applications and user-facing solutions within Foundry. Strong understanding of distributed systems and microservices architecture. Experience with AWS services such as S3, Glue, Athena, Lambda, Redshift, Textract, and AI/ML services. Experience working ...

aligned to BNY’s principles and pillars.To be successful in this role, we’re 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) and familiarity ...

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 ...

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 ...

performance software using C# and .NET Core, writing clean, maintainable, and well‐tested code aligned to business goalsImprove the performance, reliability, and uptime of distributed systems through automation and efficient deployment practicesImplement robust security controls, ensuring compliance with relevant industry standardsWork within Agile and Lean methodologies to deliver ...

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 ...

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 ...

Generation (RAG) AI Agents Vector Databases Prompt Engineering Amazon Bedrock About You Extensive experience with Django and FastAPI. Strong understanding of software architecture and distributed systems. Experience building cloud-native applications on AWS. Previous experience leading technical delivery and mentoring engineers. Exposure to AI technologies such as LLMs ...

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 ...

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 ...

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 ...

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 ...

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 ...

with a strong engineering culture and modern tech stack. Key Responsibilities Design, develop and maintain applications using .NET technologies (C#) Build and deploy scalable systems within AWS cloud environments Contribute to architecture and technical decision-making Work closely with Product and Engineering teams to deliver features Champion best practice …/CD pipelines and DevOps processes Required Experience Strong commercial experience with .NET/C# Hands-on experience with AWS (essential) Experience building scalable, distributed systems Strong understanding of APIs and microservices architecture Exposure to CI/CD and DevOps ways of working Ability to work autonomously ...

R114934**Senior Data Engineer****Are you passionate about building scalable, high-performance data-driven applications? Do you enjoy turning complex datasets into robust, reliable systems that deliver real business impact?****About the team:**The Search and AI Platform supports core products such as Scopus, ScienceDirect, and AI‐driven research … Scopus, ScienceDirect, and our next-generation LLM-powered research systems. The platform utilises agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data, delivering insights to the scientific community that enable them to collaborate more effectively, work smarter, and produce ...

. You play a key role in our software development and have a hands‐on approach throughout the development process supporting resilient financial workflow systems and regulated investment operations. As a senior member of the team, you are the ‘go‐to’ person for queries. On a typical … operate a build‐and‐run model where engineers have autonomy but full accountability. We care deeply about correctness, resilience and operational excellence because our systems underpin real customer investments. Engineers are not passengers in their products but champions. Drive improvements and features while collaborating openly with product, operations ...

equivalent practical experience Strong hands-on software engineering experience in C++ and Java Proven track record of designing and delivering medium-to-large-scale systems Industry experience at a senior engineer or technical-lead-equivalent level Solid understanding of object-oriented design, data structures, algorithms, concurrency, memory management … system integration Experience building and supporting distributed systems, including messaging, APIs, and inter-service communication Familiarity with Linux environments, build tools, version control systems, and automated testing frameworks Experience with CI/CD, performance tuning, and observability Exposure to cloud platforms and open-source technologies, including their ...