Java Engineer – Microservices, Kafka, Kubernetes, Big Data : £100k+

Company: Hunter Bond
Apply for the Java Engineer – Microservices, Kafka, Kubernetes, Big Data : £100k+
Location: London
Job Description:

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 at scale. This position will suit an engineer who enjoys working across the full development lifecycle, from architecture and design through to deployment, monitoring and production support.

What You’ll Be Doing

  • 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 OpenShift
  • 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

Technical Environment

  • Java
  • Kubernetes, OpenShift, Docker, CRC
  • Kafka and distributed messaging platforms
  • Hadoop, Spark, Trino
  • Avro, Parquet, ORC
  • Spring Framework, Guice
  • Vert.x
  • Elasticsearch, Lucene
  • Jenkins, Maven, Git
  • Splunk

What We’re Looking For

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.

Posted: June 27th, 2026