Java Engineer

Forward Role Recruitment
Manchester, UK
1 day ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Java (Programming Language) Amazon Web Services Amazon S3 Data Analysis Code Review Continuous Integration Relational Databases Cursor Junit PostgreSQL Mockito Datadog
+16 more
GitHub Copilot Claude Code Grafana Spring-boot Cloudformation Amazon Relational Database Service Integration Tests Kubernetes Production Code Apache Kafka Restful APIs Amazon Simple Queue Service (SQS) Terraform GPT Docker Microservices

Job description

I’m looking for a senior Java Engineer to join a small team working on building a load of new backend services for an existing platform. The role requires someone who can be in office a couple of days a week to collaborate with the small engineering and product team.

What you’ll be doing

  • Building event-driven services and integrations on Kafka
  • Deploying and running services on AWS, working closely with DevOps on infrastructure and pipelines
  • Writing clean, tested, production-ready code, and setting the standard through code review
  • Working directly with product and engineering leads to turn requirements into working features fast

Requirements

  • Strong commercial experience in Java (17+) and Spring Boot, ideally Spring Boot 3
  • Hands-on Kafka experience: producers, consumers, topic design, and handling failure and replay
  • AWS in production, e.g. ECS/EKS, Lambda, RDS, S3, SQS/SNS
  • RESTful API and microservices design, plus relational databases (PostgreSQL or similar)
  • Solid testing discipline: JUnit, Mockito, integration testing (Testcontainers a plus)
  • CI/CD, Docker, and comfort with infrastructure-as-code (Terraform or CloudFormation)
  • Previous contract experience, landing quickly and delivering on a new build

  • Hands-on use of AI-assisted development in your daily workflow, such as Claude Code, GitHub Copilot, Cursor or ChatGPT, for scaffolding, refactoring, test generation and reviewing generated code critically
  • Kubernetes, observability tooling (Datadog, Grafana, OpenTelemetry)

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