Senior Java Engineer - AI & Modernisation

You’ll work on the modernisation of complex backend services, helping move legacy applications towards cleaner APIs, microservices and modern cloud-based architectures.

Alongside hands-on Java engineering, you’ll explore how LLMs and AI-assisted development can improve code analysis, refactoring, testing, documentation and delivery automation.

You’ll have the opportunity to build reusable AI-enabled engineering workflows and help demonstrate how these tools can be applied safely and effectively within a large production environment.

• Extensive Java backend engineering experience
• Spring Boot, APIs and microservices
• Experience modernising complex production applications
• Distributed systems and service-based architectures
• CI/CD and automated testing
• Cloud-based application development
• Strong software design and engineering fundamentals
• Experience working with business-critical production systems

We’re particularly interested in practical experience with some of the following

• Claude Code, GitHub Copilot, Cursor or similar AI development tools
• LLM APIs and AI integrations
• Model Context Protocol (MCP)
• Agentic AI workflows
• AI-assisted code analysis and refactoring
• Automated test and documentation generation
• AI-enabled CI/CD and engineering automation
• Prompt engineering and understanding the capabilities and limitations of LLMs

You don’t need to tick every AI box. What’s important is that you’re already experimenting with or implementing AI as an engineering tool rather than simply having an interest in the subject.

Myn is recruiting for a major financial technology organisation investing heavily in the use of AI across software engineering and the modernisation of large-scale technology platforms.