> Markdown version of [/jobs/ext/4651523-java-backend-engineer-utrecht](https://www.wearedevelopers.com/jobs/ext/4651523-java-backend-engineer-utrecht). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Java Backend Engineer Utrecht - **Company:** CodeGuild - **Location:** Utrecht, Netherlands (Remote available) - **Experience:** Expert - **Salary:** €7,500 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Automation of Tests, Continuous Integration, Spring-boot, Docker, Microservices - **Published:** November 10, 2026 - **Apply:** https://www.codeguild.nl/en/software-developer-jobs-netherlands/senior-java-backend-engineer-utrecht-1049400-2#apply ## About the Role * At least 6 years of experience in Java backend development * Strong in Java 17+ (preferably 21/25) and Spring Boot * Knowledge of cloud(-native) working (AWS a plus) and containers (Docker) * A feel for architecture: microservices, event-driven and data consistency * CI/CD and test automation are second nature to you * Experience with or interest in AI-assisted development and AI integration * Experience mentoring or coaching colleagues is a plus * A technical BSc or MSc such as Computer Science is preferred ## Description You join one of the agile teams with a DevOps mindset. With Java 21/25, Spring Boot, RabbitMQ, Docker and AWS you build scalable microservices and event-driven systems that process huge volumes of events. You actively contribute to domain modelling, API design and data consistency within distributed systems. The coming years are about scaling, improving performance and onboarding new customers flawlessly. AI plays a major role in that, on two fronts. You use AI tools to make your work smarter: generating tests, spotting edge cases, speeding up code reviews and prototyping fast. And you help integrate AI into the platform itself, for example for anomaly detection, optimising data flows or smart automation for customers. That way you make an impact with AI on both your own productivity and the future of the platform. You also grow your circle of influence here. You help define standards, make sure clean code and test automation are the norm, and raise colleagues to a higher level with your experience. So you make an impact not only on the codebase, but also on the team and the direction of the platform.