Java Engineer - Microservices, Kafka, Kubernetes, Big Data

We're supporting a client that is expanding its engineering capability within a large-scale data and platform environment. They're looking for a Senior Java Engineer to join a team responsible for building and operating high-throughput distributed systems, modernising legacy applications, and delivering data-driven services s position will suit an engineer who enjoys working across the full development lifecycle, from architecture and design through to deployment, monitoring and production support.

• Developing and maintaining Java-based services within a microservices architecture
• Building ETL and ELT pipelines capable of processing large volumes of structured and semi-structured data
• Designing and implementing event-driven solutions using Kafka and related streaming technologies
• Migrating monolithic applications into loosely coupled, containerised services running on Kubernetes and Open Shift
• Working with data stored and processed using technologies including Hadoop, Spark, Trino
• Developing solutions that leverage columnar storage formats such as Avro, Parquet and ORC
• Building resilient, testable applications using Spring, Guice and modern dependency injection principles
• Creating and maintaining CI/CD pipelines using Git, Maven and Jenkins

• Java
• Kafka and distributed messaging platforms
• Hadoop, Spark, Trino
• Spring Framework, Guice
• Vert.x
• Elasticsearch, Lucene
• Splunk

You'll have a strong background in backend engineering and distributed systems, with experience building scalable, highly available services in complex enterprise environments.

Experience with microservices migration programmes, event-driven architectures, large-scale data processing, and cloud-native deployment models will be particularly valuable.

This is an opportunity to join an engineering-led organisation where you'll contribute to architectural direction, platform modernisation initiatives and the delivery of systems operating at significant scale.