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# Java Engineer

- **Company:** Forward Role Recruitment
- **Location:** Manchester, UK
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon S3, Data Analysis, Code Review, Continuous Integration, Relational Databases, Cursor, Junit, PostgreSQL, Mockito, Datadog, 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
- **Published:** October 24, 2026
- **Apply:** https://www.forwardrole.com/jobs/4568465seniorjavaengineer/#apply-now

## About the Role

* 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)

## 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