2 of 2 Spring Integration Jobs in London

Java Full stack Permanent Upto 75K budget 6 to 10 years London/UK Mandatory kills : Java 8/11, Spring boot, Spring Integration, Microservices, Architecture Design experience, PostgreSQL, Hibernate/JPA, Azure, Strong in Problem Solving The Role Should have rich knowledge in Software Development Life … architecture for a software solution and providing strategic direction throughout the development process. Design and develop high-performance, scalable, and reliable solutions using Java, Spring boot, Microservices technologies. Work closely with business stakeholders to gather and analyse requirements, translating them into technical specifications and architectural designs. Convert visionary concepts … Design and deploy Java applications. Develop strategic, logical, and physical designs. Requirements Good hands-on in Java, J2EE, Databases (Postgres), Web Services (REST, SOAP), Spring boot, Spring MVC, Spring 4.0, Hibernate/JPA, API Gateway, Azure and Microservices. 5-12 years of experience desired in designing software More ❯

to connect data within and between data stores, applications and organisations. Design, code, verify, test, document, amend and refactor complex programmes/scripts and integration software services. Apply agreed standards and tools to achieve well-engineered outcomes. Work side-by-side with other talented engineers in a team-oriented … on Azure. Languages: Java 11+ (ESSENTIAL) Kotlin (Legacy) Messaging Stacks: Kafka (ESSENTIAL) Pulsar - slowly migrating those back to Kafka. Deployment Environment: Kubernetes (EKS) Frameworks: Spring (ESSENTIAL) Apache Flink Kafka Streams Apache Storm (mostly legacy) Repositories and CI/CD: Gitlab Gitlab CI/CD Data Stores MongoDB About you … and show a sense of ownership and pride in your code; make us believe you will excel. Experience with testing frameworks JUnit5, Mockito or Spring Integration. Strong database skills and experience is required; we have NoSQL databases as well as relational databases in use often with large data volumes. More ❯