76 to 100 of 234 Microservices Jobs in London

Azure cloud deployment Relational databases (MSSQL/MySQL) Proven experience leading engineering teams in Agile environments Exposure to trading systems, FIX protocol, WPF, microservices, or serverless architecture is highly desirable. If you're a delivery-focused technical leader who enjoys mentoring engineers while staying close to the code ...

SDLC and get to make a genuine impact on a growing business. Requirements: Strong experience with Python (2+ Years) Experience working with REST Microservices Strong SQL Experience working with very large data sets. Knowledge of big data tools (Spark, Kafka etc) Experience working in finance (Preferred) Strong formal education - ideally ...

influence architecture, and help move millions in daily transactions. Requirements: • 5+ years backend engineering experience. • Strong JavaScript/TypeScript/NodeJS expertise. • Experience with microservices, REST APIs, and event-driven systems. • Solid knowledge of PostgreSQL, Redis, Docker, Kubernetes, and AWS. • Strong focus on security, scalability, and reliability. Nice to Have ...

with business stakeholders and engineering teams to deliver scalable, maintainable solutions designed for long-term growth. Key Responsibilities Build modern, real-time, high-performance microservices supporting core Rates and Credit trading workflows Design and deliver end-to-end solutions in collaboration with engineers across the technology stack Work directly with ...

with LLMs, RAG, LangChain, LangGraph, prompt engineering Strong cloud experience: Azure OpenAI, AWS Bedrock/SageMaker or GCP Vertex AI Experience with Kubernetes, Docker, microservices, API integration Strong knowledge of Python, MLOps, LLMOps, CI/CD, model monitoring Experience delivering enterprise AI solutions at scale Desirable Experience with vector databases ...

. Maintainstronguptime,latency,andtransactionalintegritystandards. WhatWereLookingFor: 2+yearsleadingengineeringteamsinapeoplemanagementcapacity(4+forSeniorlevel). Strongbackgroundinbackendengineering,ideallywithina.NET/C#environment(Nicetohave) Experiencebuildingorscalingdistributedsystemsinhigh-transactionenvironments(Nicetohave) Backgroundinfintech,payments,banking,orotherregulatedindustries(Nicetohave) Strongunderstandingofsystemdesign,APIs,microservices,andevent-drivenarchitecture. Experienceoperatingwithinmoderncloudenvironments(AWS,Azure,orGCP). Demonstratedabilitytoleadwithoutmicromanaginghands-offbuttechnicallycredible. TechnicalEnvironment Ourplatformisbuiltusingmodern,cloud-nativetechnologies,including: Technologies .NET/C#(coreplatformservices) React RESTfulAPIs&event-drivenservices Data&Messaging PostgreSQL ...

.NET 10.0, ASP.NET Core, C# 14, Azure, Angular 21, Vue.js, TypeScript, multithreading, RESTful, ASP.NET Core Web API, EF Core 10.0, Solid, DRY, LINQ, Microservices, Agile and Azure SQL. No previous banking experience is required. This is a once in a lifetime opportunity to get involved in one of the most ...

sqlx and gorm Solid understanding of Docker and containerised development Experience building RESTful APIs and integrating services Desirable: AWS services (Lambda, EventBridge, SQS), microservices architecture, CI/CD tooling, event-driven systems Package: £70,000 + £3K on call bonus Fully Remote role + Benefits Package Senior Software Developer - Golang ...

implement engineering standards Excellent communication skills for both technical and non-technical stakeholders Familiarity with .NET/C#, Azure, DevOps/CI/CD, microservices, and modern scalable architecture principles is desirable The opportunity: Shape a new leadership role in a regulated, innovative, and growing team Influence technical standards ...

architectures, LangChain, LangGraph, and prompt engineering Deep cloud knowledge including Azure OpenAI, AWS Bedrock/SageMaker, or GCP Vertex AI Experience with Kubernetes, Docker, microservices architectures, and API integrations Proficiency in Python, MLOps, LLMOps, CI/CD pipelines, and model monitoring practices Proven track record of delivering large-scale enterprise ...

days a week with flexibility to work from home twice a week. About you: You have advanced full stack development skills including TypeScript backends, microservices, APIs, React and also ideally React Native or Kotlin for mobile development You have a good understanding of distributed systems, RDBMS (Oracle) and data modelling ...

scripting languages Python, Shell, Go Lang, Terraform etc. Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI). Understanding containerization (Docker) and microservices architecture. Ansible configuration management and deployment. Desirable Skills/Knowledge/Experience/Personal Attributes Proven experience in compute, OpenShift, Kubernetes, hypervisors, storage, Windows, networks ...

processing systems, scheme integrations, authorisation flows, transaction life cycles, and settlement processes; knowledge of cryptographic key migrations (e.g., EMV, PEK) is advantageous. Experience architecting microservices, REST APIs, event-driven architectures, and secure cloud services (Azure). Exceptional communication and collaboration skills, capable of working with senior stakeholders, external partners ...

potential to extend and will be a hybrid role based in London. This project involves designing, building, and maintaining large-scale, cloud-based microservices capable of processing millions of records daily. Working within an enterprise environment, you’ll contribute to the architecture and infrastructure on AWS, leveraging Kafka, while also ...

developers with varying skill levels and provide guidance through peer reviews Experience in Azure, including DevOps CI/CD processes, Service bus Architecture, Microservices, Functions, Web apps, IAC Experience with AI driven development tools such as Claude Experience developing REST API-driven mobile first web applications Experience of frontend application ...

abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement. Cloud-Native Product & Software Engineering: Apply containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to create and integrate scalable AI-native systems. Domain-Specific Workflows: Tailor and deploy agentic applications ...

pipelines, including: Hybrid (keyword + vector) search Reranking and embedding optimization Chunking and document preprocessing strategies Evaluation and regression testing harnesses Develop APIs, microservices, and serverless GenAI workflows for scalable, secure deployment. ML/LLM Engineering & LLMOps Work across AI/ML platforms such as Azure ML, AWS SageMaker, Vertex ...

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 ...