151 to 175 of 2,431 Microservices Jobs in England

security expectations; ability to guide peers on safe and effective usage within team practices. Preferred qualifications, capabilities and skillsUnderstanding of distributed systems and microservices architectureUnderstanding of cloud technologies (AWS, GCP, Azure, etc.)Understanding of messaging frameworks (Kafka, RabbitMQ, etc.)Experience in automating deployment, releases and testing in continuous integration, continuous ...

architectures (AWS, GCP and/or Azure), including hybrid and multi-cloud solutions.* Cloud Experience: Strong expertise in cloud-native services (containers, Kubernetes, serverless, microservices) combined with deep knowledge of networking, security, identity management, and compliance best practices.* Infrastructure & Automation: Hands-on experience with Infrastructure-as-Code (Terraform, ARM Templates ...

Azure Storage, Azure SQL/Cosmos DB, Key Vault, Azure Monitor, Log Analytics).Containers, Container Apps, Kubernetes and microservicesExperience designing, building and operating containerised microservices, including Docker image design, optimisation, Container Apps, Kubernetes (preferably AKS) deployment and scaling strategies, and Kubernetes configuration, secrets and traffic management.Infrastructure as Code and platform ...

with TypeScript and modern Frontend development Strong backend experience with Java (Spring Boot) A solid grounding in Domain Driven Design (DDD) Experience working with microservices architectures Full-stack capability across UI, API, and data layers Experience working in cloud-native environments (ideally AWS) Interest or experience in AI-assisted development ...

hands‐on software development experience using modern programming languages such as Python, Java, Node.js, or similar. Experience designing and implementing distributed systems, APIs, and microservices architectures. Extensive experience developing cloud‐native applications and services within AWS environments. Strong background in data engineering, including data modeling, ETL development, pipeline design ...

complex technical trade-offs, risk mitigation strategies, and system capabilities in clear, business-centric language. Technology Environment Compute & Services: Java, .NET, Python, Cloud-native microservices Data & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka) AI & ML: Azure OpenAI, LLM Integration patterns, Vector Databases Integration & Storage: Azure Data ...

React front end — or a comparable modern stack, with the appetite to move across technologies. Exposure to Kubernetes and Kafka a plus. Knowledge of microservices, APIs, and cloud‐based deployment. CI/CD, containerisation, and DevOps practices as part of how you work day to day. Security best practices applied ...

infrastructure-as-code (e.g. Terraform); observability and monitoring stacks.* Solid understanding of database systems, SQL, data modelling, ETL pipelines, REST/gRPC APIs and microservices architecture; identity and access management with OIDC/SAML and Azure Entra ID.* Experience with LLMs, RAG systems, prompt engineering and AI evaluation frameworks; familiarity ...

collaboration. Technical SkillsRequiredSoftware EngineeringStrong hands-on experience with Go and modern backend development, ideally alongside TypeScript/Node.js. Experience designing and building distributed systems, microservices and RESTful APIs. Strong understanding of Domain-Driven Design (DDD), bounded contexts, event-driven architecture and service decomposition. Experience building scalable cloud-native applications using ...

ecosystemDevelop and extend platform components responsible for data ingestion, transformation, validation, and routing across internal and external systemsBuild robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelinesDesign and optimize SQL-based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ...

discovery and assessment tooling such as MGN, CAST, Dynatrace, App Dynamics, SonarQube, Veracode and AWS X-Ray Strong understanding of cloud-native architecture patterns: microservices, containers (Docker/Kubernetes/OpenShift), serverless (Lambda, API Gateway), event-driven design, and API-first principles — sufficient to assess application fitness for each pattern ...

Technology Environment You will be architecting solutions within a broadly evolving and heterogeneous technology landscape, notably encompassing: Compute & Services: Java, .NET, Python, Cloud-native microservices Data & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka) AI & ML: Azure OpenAI, LLM Integration patterns, Vector Databases Integration & Storage: Azure Data ...

applications into the Azure platform, including migrations/re-platforming of legacy on-premises systems* Engineering and architecture experience in designing and building containers, Microservices, Cloud Native applications, and federated Data platforms (Data Mesh)Data Architecture, Data Management & Diverse Data Types:* Possesses solid experience in Data Architecture, including developing logical ...

/Azure) while maintaining performance SLAs.Design enterprise integration architecture, covering API management, event-driven patterns (Kafka, EventBridge), messaging (JMS, MQ), ETL/ELT pipelines, microservices and service mesh topologies.Champion AI, ML and agentic automation opportunities within the trading technology estate — including intelligent scheduling, anomaly detection, automated P&L attribution, predictive ...

senior stakeholders (CTO, VP Engineering, Director level), including running workshops and presenting technical strategy to non-technical audiences.Technical ExpertiseBackend Development: Deep experience building production microservices, ideally Python or TypeScript.Frontend Development: Strong experience with React and TypeScript, using frameworks such as Next.js or Vite.AI and Agentic Systems: Hands-on experience designing ...

Azure) while maintaining performance SLAs. Design enterprise integration architecture, covering API management, event-driven patterns (Kafka, EventBridge), messaging (JMS, MQ), ETL/ELT pipelines, microservices and service mesh topologies. Champion AI, ML and agentic automation opportunities within the trading technology estate — including intelligent scheduling, anomaly detection, automated P&L attribution ...

NoSQL databases Git and automated testing Experience Required: Commercial experience as a Full Stack, Front-End, or Back-End Engineer Agile delivery environments Microservices and event-driven architectures Strong understanding of software development best practices Desirable: Financial services or trading systems experience Messaging technologies (AMQP, Solace, Pub/Sub) Open ...

modernise applications running on GCP Kubernetes with Python (backend) and Agular (frontend) Essential Skills/Experience ✔️ Strong experience with Python backend development (APIs, microservices, application frameworks). Proficiency with modern frontend frameworks (Angular preferred). Experience working with cloud platforms (GCP preferred, AWS/Azure also relevant). Containerisation & orchestration ...

will be responsible for: Developing and enhancing Java-based backend services. Designing and implementing secure, scalable applications. Building and integrating RESTful APIs. Working with microservices architectures. Collaborating with engineers, architects and relevant stakeholders. Work within an Agile development environment Contributing to the development of technology supporting UK national security operations ...

will be responsible for: Developing and enhancing Java-based backend services. Designing and implementing secure, scalable applications. Building and integrating RESTful APIs. Working with microservices architectures. Collaborating with engineers, architects and relevant stakeholders. Work within an Agile development environment Contributing to the development of technology supporting UK national security operations ...

with customers. Track record of successfully delivering migration and modernization projects. Expert knowledge of cloud architecture, networking, and security in Azure and AWS.Experience with microservices and event-driven design. Familiarity with generative AI and agentic AI frameworkProficiency in infrastructure-as-code and configuration-as-code tools such as Terraform, CloudFormation ...

/CloudFormation/CDKImplement configuration management tools:Ansible, Chef, Puppet3. Containerization & OrchestrationDeploy and manage applications using:Docker, Kubernetes (EKS preferred)Maintain container orchestration and microservices architecture4. Monitoring & SecurityImplement monitoring, logging, and alerting solutions:CloudWatch, Prometheus, Grafana, ELK StackEnsure compliance with security best practices:IAM policies, encryption, secrets managementPerform audit ...

Infrastructure as Code, configuration management, containerisation, and orchestration technologies such as Terraform, Ansible, Docker, or Kubernetes. Demonstrable understanding of software architecture, distributed systems, and microservices, with experience making pragmatic technical decisions across complex or varied technology stacks. Proven ability to lead technical initiatives and drive adoption, including defining engineering metrics ...

Infrastructure as Code, configuration management, containerisation, and orchestration technologies such as Terraform, Ansible, Docker, or Kubernetes. Demonstrable understanding of software architecture, distributed systems, and microservices, with experience making pragmatic technical decisions across complex or varied technology stacks. Proven ability to lead technical initiatives and drive adoption, including defining engineering metrics ...

Infrastructure as Code, configuration management, containerisation, and orchestration technologies such as Terraform, Ansible, Docker, or Kubernetes. Demonstrable understanding of software architecture, distributed systems, and microservices, with experience making pragmatic technical decisions across complex or varied technology stacks. Proven ability to lead technical initiatives and drive adoption, including defining engineering metrics ...