1,926 to 1,950 of 2,055 Distributed Systems Jobs in England

fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. … role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading ...

technical designs. Maintain Excellence: Write clean, maintainable, and testable .NET/C# code, seamlessly submitting and managing Pull Requests (PRs) within established workflows. Modernize Systems: Help simplify the payment stack by supporting the transition from legacy vault infrastructure to modernized, PCI‐compliant solutions. Seamless Integration: Augment the development team … Core Language & Cloud: Mandatory proficiency in .NET/C# and Azure cloud infrastructure. Architecture: Experience with scalable backend services, secure enterprise APIs, and modern distributed systems. Proven Backend Experience: Extensive background in .NET/C# backend development, particularly within secure, highly compliant environments. Execution Focus: A strong willingness ...

reach for pandas here. Comfortable on AWS and on the command line. You can stand up your own infra and debug a distributed system without panicking. Solid SQL and a real instinct for data quality — you notice when numbers are subtly wrong, not just when a job fails loudly. … microstructure exposure. If you know what an order book is and why a tick matters, say so. Exchange APIs and real‐time/streaming systems (Kafka, Redpanda, NATS). Time‐series stores (ClickHouse, kdb+) and the Arrow/Parquet world. Infrastructure‐as‐code (Terraform) and CI/CD. ...

architectural standards for interoperability, including API design, event contracts, data exchange patterns, versioning, and access controls.Define scalable integration patterns for customers, partners, and enterprise systems across API, streaming, batch, and self-service access channels.Create consistent interfaces that support human users, analytics tools, applications, AI agents, MCP-compatible clients … experience in R&D Architecture.Proven success designing enterprise data platforms that drive adoption and business value.Deep understanding of APIs, event-driven architecture, and distributed systems.Experience integrating complex SaaS platforms into cohesive architectural solutions.Cloud-native architecture experience, ideally within AWS environments.Strong understanding of data products and modern data architecture patterns.Excellent ...

standards for interoperability, including API design, event contracts, data exchange patterns, versioning, and access controls. Define scalable integration patterns for customers, partners, and enterprise systems across API, streaming, batch, and self-service access channels. Create consistent interfaces that support human users, analytics tools, applications, AI agents, MCP-compatible clients … Architecture. Proven success designing enterprise data platforms that drive adoption and business value. Deep understanding of APIs, event-driven architecture, and distributed systems. Experience integrating complex SaaS platforms into cohesive architectural solutions. Cloud-native architecture experience, ideally within AWS environments. Strong understanding of data products and modern data architecture ...

standards for interoperability, including API design, event contracts, data exchange patterns, versioning, and access controls. Define scalable integration patterns for customers, partners, and enterprise systems across API, streaming, batch, and self-service access channels. Create consistent interfaces that support human users, analytics tools, applications, AI agents, MCP-compatible clients … Architecture. Proven success designing enterprise data platforms that drive adoption and business value. Deep understanding of APIs, event-driven architecture, and distributed systems. Experience integrating complex SaaS platforms into cohesive architectural solutions. Cloud-native architecture experience, ideally within AWS environments. Strong understanding of data products and modern data architecture ...

build, and maintain efficient, scalable, and reliable Ruby/Elixir code.* Work with a polyglot stack (Ruby, Elixir, GraphQL, TypeScript, gRPC) and modern messaging systems (Kafka).* Operate within a Kubernetes-driven environment as we continue moving to a microservice architecture.* Embrace Domain-Driven Design to build high-quality … architecture and security standards, taking full accountability for ensuring all generated code meets the quality expectations of a Senior Engineer.Experience building and maintaining globally distributed systems.Knowledge of event-driven architectures (Kafka).5+ years of experience in product engineering, developer tools, or infrastructure at scale.A pragmatic generalist who thrives ...

developed applications. Defining principles and standards for APIs, events and system interoperability. Ensuring integration decisions promote appropriate reuse, loose coupling and clear ownership between systems and domains. Working with teams to identify opportunities to simplify integrations and reduce duplication across the technology estate. Collaborating with platform, security and engineering … Experience defining architectural direction across multiple applications, platforms and business domains. Strong knowledge of modern application architecture, enterprise SaaS platforms, cloud-native technologies and distributed systems. Strong understanding of enterprise integration, APIs, event-driven architecture and common integration patterns. Experience establishing architectural principles, standards and governance while enabling teams ...

internally developed applications.Defining principles and standards for APIs, events and system interoperability.Ensuring integration decisions promote appropriate reuse, loose coupling and clear ownership between systems and domains.Working with teams to identify opportunities to simplify integrations and reduce duplication across the technology estate.Collaborating with platform, security and engineering teams to ensure … technology organisation.Experience defining architectural direction across multiple applications, platforms and business domains.Strong knowledge of modern application architecture, enterprise SaaS platforms, cloud-native technologies and distributed systems.Strong understanding of enterprise integration, APIs, event-driven architecture and common integration patterns.Experience establishing architectural principles, standards and governance while enabling teams to retain ...

Hands-on experience building and maintaining microservices using Spring Boot, including RESTful API development, dependency injection, security implementation, and integration with cloud-native and distributed systems. Kafka - Strong knowledge of event-driven architecture and real-time data streaming using Apache Kafka. Experience designing, developing, and supporting producer and consumer … applications, ensuring reliability, scalability, and performance across distributed platforms. Desirable Skills: MongoDB - Working knowledge of MongoDB and NoSQL database concepts, including schema design, indexing strategies, query optimisation, and managing large-scale datasets. Identity and Access Management (IAM) - Join Us at Barclays as a Software Engineer. At Barclays ...

comparable cloud environments. Site Reliability Engineering (SRE), Platform Engineering, Infrastructure Engineering, Cloud Engineering or Production Operations. Observability and monitoring practices, including metrics, logging and distributed tracing. Incident management, problem management and service reliability improvement. Service Level Objectives (SLOs), Service Level Indicators (SLIs) and error budgets. Automation and reducing operational … both technical and non-technical stakeholders. Working collaboratively across multiple teams and disciplines. Desirable Experience Azure and GCP platform technologies. Cloud-native architectures and distributed systems. Infrastructure as Code (IaC) and platform automation. Large-scale enterprise or regulated technology environments. Operational resilience and availability engineering practices. What ...

comparable cloud environments. Site Reliability Engineering (SRE), Platform Engineering, Infrastructure Engineering, Cloud Engineering or Production Operations. Observability and monitoring practices, including metrics, logging and distributed tracing. Incident management, problem management and service reliability improvement. Service Level Objectives (SLOs), Service Level Indicators (SLIs) and error budgets. Automation and reducing operational … both technical and non-technical stakeholders. Working collaboratively across multiple teams and disciplines. Desirable Experience Azure and GCP platform technologies. Cloud-native architectures and distributed systems. Infrastructure as Code (IaC) and platform automation. Large-scale enterprise or regulated technology environments. Operational resilience and availability engineering practices. What ...

comparable cloud environments. Site Reliability Engineering (SRE), Platform Engineering, Infrastructure Engineering, Cloud Engineering or Production Operations. Observability and monitoring practices, including metrics, logging and distributed tracing. Incident management, problem management and service reliability improvement. Service Level Objectives (SLOs), Service Level Indicators (SLIs) and error budgets. Automation and reducing operational … disciplines. Desirable Experience Experience in one or more of the following would be beneficial: Azure and GCP platform technologies. Cloud-native architectures and distributed systems. Infrastructure as Code (IaC) and platform automation. Large-scale enterprise or regulated technology environments. Operational resilience and availability engineering practices. What We’re Looking ...

comparable cloud environments.Site Reliability Engineering (SRE), Platform Engineering, Infrastructure Engineering, Cloud Engineering or Production Operations.Observability and monitoring practices, including metrics, logging and distributed tracing.Incident management, problem management and service reliability improvement.Service Level Objectives (SLOs), Service Level Indicators (SLIs) and error budgets.Automation and reducing operational toil through engineering solutions.Production readiness … across multiple teams and disciplines.Desirable ExperienceExperience in one or more of the following would be beneficial:Azure and GCP platform technologies.Cloud-native architectures and distributed systems.Infrastructure as Code (IaC) and platform automation.Large-scale enterprise or regulated technology environments.Operational resilience and availability engineering practices.What We're Looking ForWe're looking ...

comparable cloud environments.Site Reliability Engineering (SRE), Platform Engineering, Infrastructure Engineering, Cloud Engineering or Production Operations.Observability and monitoring practices, including metrics, logging and distributed tracing.Incident management, problem management and service reliability improvement.Service Level Objectives (SLOs), Service Level Indicators (SLIs) and error budgets.Automation and reducing operational toil through engineering solutions.Production readiness … across multiple teams and disciplines.Desirable ExperienceExperience in one or more of the following would be beneficial:Azure and GCP platform technologies.Cloud-native architectures and distributed systems.Infrastructure as Code (IaC) and platform automation.Large-scale enterprise or regulated technology environments.Operational resilience and availability engineering practices.What We're Looking ForWe're looking ...

comparable cloud environments. Site Reliability Engineering (SRE), Platform Engineering, Infrastructure Engineering, Cloud Engineering or Production Operations. Observability and monitoring practices, including metrics, logging and distributed tracing. Incident management, problem management and service reliability improvement. Service Level Objectives (SLOs), Service Level Indicators (SLIs) and error budgets. Automation and reducing operational … largest financial services organisations. Experience in one or more of the following would be beneficial Azure and GCP platform technologies. Cloud-native architectures and distributed systems. Infrastructure as Code (IaC) and platform automation. Large-scale enterprise or regulated technology environments. Operational resilience and availability engineering practices. What ...

addressing those faced by underrepresented groups.About youYou are an operationally focused engineer who enjoys solving complex problems, supporting business-critical services, and ensuring systems run reliably every day. You thrive in deadline-driven environments, remain calm under pressure, and take pride in delivering high-quality operational support.You have experience … supporting production or operational systems, investigating technical issues, coordinating with multiple stakeholders, and driving problems through to resolution. You are proactive, adaptable, and always looking for opportunities to improve processes, automate repetitive tasks, and enhance service reliability.Whether your background is in publishing, production engineering, technical operations, platform operations ...

addressing those faced by underrepresented groups. About youYou are an operationally focused engineer who enjoys solving complex problems, supporting business-critical services, and ensuring systems run reliably every day. You thrive in deadline-driven environments, remain calm under pressure, and take pride in delivering high-quality operational support. … have experience supporting production or operational systems, investigating technical issues, coordinating with multiple stakeholders, and driving problems through to resolution. You are proactive, adaptable, and always looking for opportunities to improve processes, automate repetitive tasks, and enhance service reliability. Whether your background is in publishing, production engineering, technical operations ...

processes, tooling, and software reliability.Contribute to the full software development lifecycle, from requirements gathering through to deployment and support.Provide technical support for live operational systems, including occasional on-call responsibilities.Experience RequiredDegree in Computer Science, Software Engineering, or a related technical discipline.Strong hands-on experience developing software using Java within … network security best practices.Experience producing clear technical documentation to support ongoing development and operational support.Desirable ExperienceReal-time monitoring or service assurance platforms.Large-scale distributed systems.Data analysis and operational dashboards.Network management or telecommunications environments.Supporting production systems within a 24/7 operational environment.The Ideal Candidate You will ...

premier investment super app for over 500,000 users. It focuses on AI-driven wealth management and intelligent, personalized financial tools within a distributed microservices architecture on AWS. Задачи Define and execute the end-to-end quality strategy for the Wealth Management business line, embedding testing early in architecture … velocity CI/CD pipelines; Own performance testing using tools like K6, design realistic load models, analyze results, and partner with engineering to optimize distributed system reliability. Требования Over 7 years of QA experience; Experience owning quality strategy for complex, modern service-oriented architectures rather than just executing plans ...

inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution.Design scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use casesPush the cost and latency frontier … have...BSc, MSc, or PhD in Computer Science or equivalent3+ years of industry experience in software engineeringStrong backend engineering fundamentals, especially in Python and distributed systems.Experience building production services, APIs, data pipelines, or ML infrastructure at scale.Experience operating systems in production, including observability, debugging, reliability, incident response, and performance ...

fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. Design scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use casesPush the cost and latency frontier … have...BSc, MSc, or PhD in Computer Science or equivalent3+ years of industry experience in software engineeringStrong backend engineering fundamentals, especially in Python and distributed systems. Experience building production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response ...

raised $60 million in Series B funding and is expanding across the UK and United States. Key Responsibilities Design, develop, and deploy AI-powered systems using state-of-the-art large language models (LLMs). Build AI agents, retrieval-augmented generation (RAG) systems, and advanced document understanding pipelines. … technologies. Excellent communication and collaboration skills. Fluency in English. Preferred Qualifications Experience with OpenAI, Anthropic, Google Gemini, or similar AI platforms. Knowledge of RAG systems and agentic architectures. Frontend development experience. Familiarity with CI/CD, observability tools, APIs, and distributed systems. Benefits Competitive salary. Equity options. Flexible ...

software reliability. Contribute to the full software development lifecycle, from requirements gathering through to deployment and support. Provide technical support for live operational systems, including occasional on-call responsibilities. Experience Required Degree in Computer Science, Software Engineering, or a related technical discipline. Strong hands-on experience developing software using … practices. Experience producing clear technical documentation to support ongoing development and operational support. Desirable Experience Real-time monitoring or service assurance platforms. Large-scale distributed systems. Data analysis and operational dashboards. Network management or telecommunications environments. Supporting production systems within a 24/7 operational environment. The Ideal ...

environments.Strong knowledge of data management principles, including data modelling, integration, quality, and governance.Strong commercial experience with Snowflake and Databricks – essential.Experience assessing existing data management systems and recommending improvements.Experience with modern data architectures, including cloud-based and distributed systems.Strong proficiency in SQL and Python.Experience with data engineering and pipeline … technologies such as Apache Airflow and Spark.Experience working with cloud platforms, particularly AWS and Azure.Knowledge of big data technologies and distributed data processing.Understanding of data analytics and visualisation.Awareness of data standards, interoperability, data governance, and data sharing.Experience working with sensitive or security-conscious data environments would be highly beneficial.Strong ...