1 to 25 of 35 Microservices Jobs in the East of England

deploy distributed systems and AI agents that leverage LLMs and retrieval‐augmented generation (RAG) to provide contextual, reasoning‐based capabilities. Develop cloud‐native microservices and data pipelines to deliver high‐performance inference and contextual retrieval across multiple data sources. Implement frameworks for orchestration, task planning and memory management in agentic ...

Azure Proven leadership in DevOps, CI/CD pipelines and cloud-native environments Advanced SQL Server and data modelling expertise Strong understanding of microservices and distributed systems Experience with CMS platforms (e.g. Umbraco) and third-party integrations A collaborative mindset and the ability to influence without line management Our Perks ...

release monitoring and maintenance. Establish, enforce, and continuously evolve software engineering best practices (e.g., SOLID principles, domain-driven design, clean architecture, modular monoliths vs microservices). Drive consistency in coding standards, code review rigor, and software craftsmanship. Lead critical system architecture decisions, including technology stack evolution, refactoring legacy components ...

release monitoring and maintenance. Establish, enforce, and continuously evolve software engineering best practices (e.g., SOLID principles, domain-driven design, clean architecture, modular monoliths vs microservices). Drive consistency in coding standards, code review rigor, and software craftsmanship. Lead critical system architecture decisions, including technology stack evolution, refactoring legacy components ...

release monitoring and maintenance. Establish, enforce, and continuously evolve software engineering best practices (e.g., SOLID principles, domain-driven design, clean architecture, modular monoliths vs microservices). Drive consistency in coding standards, code review rigor, and software craftsmanship. Lead critical system architecture decisions, including technology stack evolution, refactoring legacy components ...

release monitoring and maintenance. Establish, enforce, and continuously evolve software engineering best practices (e.g., SOLID principles, domain-driven design, clean architecture, modular monoliths vs microservices). Drive consistency in coding standards, code review rigor, and software craftsmanship. Lead critical system architecture decisions, including technology stack evolution, refactoring legacy components ...

release monitoring and maintenance. Establish, enforce, and continuously evolve software engineering best practices (e.g., SOLID principles, domain-driven design, clean architecture, modular monoliths vs microservices). Drive consistency in coding standards, code review rigor, and software craftsmanship. Lead critical system architecture decisions, including technology stack evolution, refactoring legacy components ...

release monitoring and maintenance. Establish, enforce, and continuously evolve software engineering best practices (e.g., SOLID principles, domain-driven design, clean architecture, modular monoliths vs microservices). Drive consistency in coding standards, code review rigor, and software craftsmanship. Lead critical system architecture decisions, including technology stack evolution, refactoring legacy components ...

concepts Cloud platforms (e.g., AWS, Azure or similar) Infrastructure as code principles and basic scripting CI/CD concepts, version control and deployment practices Microservices and containerisation concepts Agile delivery methodologies and tools such as Jira and Confluence Professional Skills Strong communication, structured thinking, stakeholder engagement, organisation and a commitment ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

working across the entire stack, from Backend, frontend, infrastructure in a fast-moving environment. You’ll be solving meaningful engineering problems around event-driven, microservices, data platforms and cloud architecture, with real ownership over design decisions and how the platform evolves as the business scales. It’s a strong ...

expertise in Application Architecture, including design patterns, frameworks, and methodologies. Proficient in cloud technologies and services (e.g., AWS, Azure, Google Cloud). Experience with microservices architecture and API design. Solid understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem solving skills and the ability to think critically under ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...

APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments ...