201 to 225 of 1,861 Distributed Systems Jobs in England

Accounting team with ample development opportunities. We're growing the Revenue Data team with Engineering and Accounting Data openings to drive our automation and systems infrastructure and while keeping pace within one of the fastest growing marketplace companies.About the RoleThe Manager of Engineering for Accounting Infrastructure and Systems leads a team responsible for building and maintaining the scalable backend systems, data pipelines, and integrations that power DoorDash's accounting, reconciliation, and financial reporting workflows. This role partners closely with Finance, Accounting, and cross-functional engineering teams to translate complex regulatory and operational requirements into reliable, automated ...

engineering best practices Support and improve existing applications, helping ensure they remain reliable, performant and scalable Contribute to the development of cloud-native and distributed systems that support business-critical customer journeys Develop automated tests and contribute to quality engineering practices throughout the software development lifecycle Apply modern … Experience working with PHP applications and services Experience developing applications using Java Experience contributing to backend services and APIs Familiarity with microservice architectures and distributed systems Experience working within highly regulated industries such as financial services What Success Looks Like You'll be comfortable taking ownership of features ...

using technologies such as Spring Boot, with automation as a core engineering principle. You’ll be comfortable designing and delivering robust, scalable and resilient distributed systems, with a strong focus on reliability, observability and operational excellence. Exposure to agentic coding practices where it adds value, would be hugely … beneficial You’ll also need: Strong experience building robust, resilient and defensively coded distributed systems, ideally leveraging technologies such as Kafka and an understanding of designing and operating RESTful APIs at scale, including versioning, observability, monitoring, and forward, backward compatibility Experience with event driven architectures, both orchestrated ...

platforms and business-critical software. This role combines hands-on software engineering with technical leadership, making it ideal for someone who enjoys building scalable systems while helping shape engineering standards, architecture decisions, and best practices across the wider team. While the primary language is Go (Golang), we're also … Doing Building high-quality backend applications using Go Designing scalable, secure and resilient software solutions Developing and improving APIs, services and distributed systems Collaborating with product, architecture and engineering teams Driving code quality through testing, reviews and best practice Supporting cloud adoption and modern engineering approaches Contributing ...

drive architecture and design across a large-scale commercial cards ecosystem. Key Responsibilities Own and deliver end-to-end solution architecture for card-based systems, ensuring alignment with enterprise architecture principles and platform roadmaps Translate business requirements (BRDs) into solution designs , decomposing into MVPs, epics, and detailed technical stories … Design and implement scalable, resilient, and secure architectures across distributed systems Define integration patterns (REST APIs, messaging, event-driven architecture) across internal platforms and external partners Provide hands-on architectural leadership to engineering teams, ensuring design consistency and adherence to standards Govern solutions through architecture review boards , ensuring ...

performing engineering team in Canary Wharf. This is a hands‐on role for an engineer who enjoys solving complex technical problems, building highly scalable systems and working in a strong engineering culture. You’ll work primarily across the JVM ecosystem , with Java, Scala and/or Kotlin , contributing … design and development of robust, high‐performance distributed systems. You’ll be expected to bring strong software engineering fundamentals, with TDD, clean code and automated testing embedded in your approach to development. Strong CI/CD experience is essential, along with a solid understanding of modern engineering practices ...

amplify our teams’ most powerful ideas.As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.Take the next step in your career.The roleThe Core AI team is a centralised infrastructure … applying emerging best practices to improve the platformWho are we looking for We value pragmatic engineers who combine deep infrastructure expertise with strong systems thinking and clear communication. You should enjoy building reliable, secure platforms at scale - the kind of foundations that hundreds of engineers and quants depend ...

solution architectures for complex digital services. Design scalable, resilient and secure solutions across cloud, hybrid and on-premise environments. Develop architecture for microservices, APIs, distributed systems and event-driven solutions. Translate business and user needs into clear technical solutions with appropriate traceability. Produce architecture models, solution views, technical … explain and communicate complex technical decisions clearly. Experience with architecture governance, assurance and technical standards. The Technology Environment Cloud: AWS, Azure, GCP Architecture: Microservices, distributed systems, event-driven architecture, API-led architecture Integration: REST APIs, Kafka, messaging, Pub/Sub, data streaming, file-based integration Development: Java, Spring ...

London deep tech company building the software backbone for the autonomous age. Their platform lets operators orchestrate fleets of robots, sensors and autonomous systems, fuse the vast data they generate, and turn it into decisions made faster than any adversary can react. Real systems, deployed in the world … actually matters. Well funded, scaling hard, and engineering led to the core. The problem space This is not CRUD. You'll be architecting systems that ingest and fuse high volume, heterogeneous sensor streams in real time, coordinate autonomous agents over unreliable and contested networks, and surface complex state ...

gateway that every object put, get, list, and delete flows through. When a customer or application talks to R2, they talk to the systems we build and operate. R2 is growing rapidly, and the gateway must evolve to keep pace. The team is responsible for the API surface that … delivering low-latency, highly available access at global scale. You’ll be joining a team that operates at the intersection of large-scale distributed systems, storage infrastructure, and edge computing — building request-path systems that need to be correct, fast, and reliable on every single call. Responsibilities ...

that interacts with the Kubernetes API (client-go, controller-runtime)- Own features end-to-end, from CRD design through implementation to rollout- Reason about distributed systems concerns: consistency, failure modes, leader election, and graceful degradation- Collaborate with other platform and infrastructure teams to integrate with Bloomberg-wide systems …/or Python- Experience with Kubernetes internals, not just deploying to K8s, but extending it (e.g. operators, controllers, CRDs, admission webhooks)- Understanding of distributed systems fundamentals (consistency, reconciliation, failure handling)- Curiosity about how things work under the hood and willingness to dig into unfamiliar systems- A degree ...

that interacts with the Kubernetes API (client-go, controller-runtime) Own features end-to-end, from CRD design through implementation to rollout Reason about distributed systems concerns: consistency, failure modes, leader election, and graceful degradation Collaborate with other platform and infrastructure teams to integrate with Bloomberg-wide systems …/or Python Experience with Kubernetes internals, not just deploying to K8s, but extending it (e.g. operators, controllers, CRDs, admission webhooks) Understanding of distributed systems fundamentals (consistency, reconciliation, failure handling) Curiosity about how things work under the hood and willingness to dig into unfamiliar systems A degree ...

Title: Principal Software Engineer Role: Distributed Systems & Communications Location: Cambridgeshire Salary: £60-£80k Platform Recruitment has partnered with an innovative technology company developing mission-critical systems used by organisations worldwide. They're looking for a Principal Software Engineer to help shape the technical direction of their platform. … Responsibilities: Lead architecture and implementation of systems in C#/.NET Build low-latency applications handling high-volume data traffic Drive technical vision and mentor engineers across the team Oversee code reviews, coding standards and CI/CD pipelines Key Requirements: 10+ years C# and .NET Core Strong distributed ...

financial and market data. Задачи Design and build data platform components using Python; Develop and optimise ETL pipelines, Data Lakes/Lakehouses and distributed systems; Improve infrastructure, observability and CI/CD practices; Maintain and evolve existing systems, including microservices, ETL and Excel add-ins; Support platform … reliability and performance. Требования Strong backend development experience with Python; Experience working with financial or market data; Experience designing and operating data-intensive and distributed systems; Strong knowledge of relational, NoSQL and columnar databases; Willingness to take ownership and work across the full development lifecycle; Collaborative and pragmatic ...

here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count … mission to create a hyper scale data lake, which helps find bad actors and stop breaches. The team builds and operates systems to centralize all of the data the falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine ...

talented engineers to create new features to increase the availability, safety & reliability of the edge ecosystem. You will improve current features, create new systems from scratch, and collaborate with platform teams to help to build the best web server in the world, with a particular focus on the rules … teams at Cloudflare. Examples of desirable skills, knowledge and experience Solid competencies in practical computer science, applying the right algorithms, data structures, concurrency control systems to software design, and building large, distributed systems Experience in performance engineering Driving communication and consensus across teams A drive for continuous ...

Java Engineer to join our R&D team. The role focuses on backend and middleware development using Java 17 and Spring, working across a distributed, high-availability system with kdb+ integration and strong security requirements. Key Responsibilities Develop, maintain, and optimise Spring-based web applications and REST APIs using … Java 17. Integrate backend services with real-time kdb+ environments. Implement authentication (SAML/LDAP) and secure authorisation (RBAC/ABAC). Participate in distributed system design, including failover, replication, and node synchronisation. Apply secure coding practices to mitigate XSS, CSRF, SQL injection, and related vulnerabilities. Deploy and tune ...

technical, hands on position. Rather than managing people or executing traditional DevOps/SRE maintenance, the successful candidate will be coding daily, designing scalable distributed systems from scratch, and squeezing maximum throughput out of large scale GPU compute clusters. The founders are seeking a high agency engineer … thrives in early stage startup environments and prefers broad systems ownership over narrow specialisation.Technical Expertise: Strong production background with AWS, Kubernetes, Slurm, PyTorch, and distributed training frameworks. Deep hands-on experience with GPU compute optimisation, cluster scheduling, and high performance networking is essential.Relevant Background: Experience in MLOps ...

What you’ll do Own technical architecture and engineering direction Remain hands‐on with C#, .NET, React and TypeScript Build scalable APIs, microservices and distributed systems Use AI agents across the SDLC Apply Spec-Driven Development Turn requirements into technical specifications using AI Review and validate AI-generated … Azure What we’re looking for Principal, Staff, Lead or strong Senior Software Engineering experience Architecture and solution design experience APIs, microservices and distributed systems CI/CD, Docker, Kubernetes and Infrastructure‐as‐Code Genuine AI-native engineering experience You should be able to clearly explain ...

defining product roadmaps, managing requirements and backlog priorities, and delivering technical platform capabilities across the product lifecycle.Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.Machine Learning: Expertise in time-series forecasting, clustering, and correlation algorithms.Generative AI: Experience with LLM prompting, Retrieval … enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic, or similar platforms.Familiarity with cloud-native platforms, Container orchestration systems, distributed systems, service mapping, and telemetry standards.Experience defining KPIs, SLOs, product adoption measures, and operational maturity frameworks for enterprise reliability and service ...

product roadmaps, managing requirements and backlog priorities, and delivering technical platform capabilities across the product lifecycle. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with … observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic, or similar platforms. Familiarity with cloud‐native platforms, Container orchestration systems, distributed systems, service mapping, and telemetry standards. Experience defining KPIs, SLOs, product adoption measures, and operational maturity frameworks for enterprise reliability ...

resilient and secure platform solutions that underpin key business services and support innovation across the organisation. You will work with modern cloud-native technologies, distributed systems and event-driven architectures at enterprise scale, helping to improve platform reliability, security and automation. This is an opportunity to help shape … scale Confluent Kafka platforms supporting business-critical workloads. Building secure, resilient and highly available streaming solutions, including multi-region and hybrid cloud environments. Applying distributed systems, event-driven architecture and platform automation practices, including Infrastructure as Code, to address engineering requirements across the platform. Developing and improving Kafka ...

resilient and secure platform solutions that underpin key business services and support innovation across the organisation. You will work with modern cloud-native technologies, distributed systems and event-driven architectures at enterprise scale, helping to improve platform reliability, security and automation. This is an opportunity to help shape … operating enterprise-scale Confluent Kafka platforms supporting business-critical workloads.Building secure, resilient and highly available streaming solutions, including multi-region and hybrid cloud environments.Applying distributed systems, event-driven architecture and platform automation practices, including Infrastructure as Code, to address engineering requirements across the platform.Developing and improving Kafka security ...

resilient and secure platform solutions that underpin key business services and support innovation across the organisation. You will work with modern cloud-native technologies, distributed systems and event-driven architectures at enterprise scale, helping to improve platform reliability, security and automation. This is an opportunity to help shape … operating enterprise-scale Confluent Kafka platforms supporting business-critical workloads.Building secure, resilient and highly available streaming solutions, including multi-region and hybrid cloud environments.Applying distributed systems, event-driven architecture and platform automation practices, including Infrastructure as Code, to address engineering requirements across the platform.Developing and improving Kafka security ...

significant growth phase and supporting an increasingly large enterprise customer base. You'll be solving complex engineering challenges around scalability, performance and reliability, designing distributed systems and building resilient enterprise-grade software that forms the foundation of the platform. This is a highly visible role where … C++ or similar Commercial experience with TypeScript Experience building and operating applications within AWS/GCP environments Strong understanding of scalable system design and distributed systems Hands‐on experience with CI/CD pipelines and modern engineering practices Experience building resilient, cloud-native, enterprise-grade applications ...