Senior Engineer - Tech modernization framework

The role is part of a team building the Tech Modernisation Framework, a platform using AI to analyse legacy code repositories and rewrite them onto modern, platform-approved technology stacks. The framework combines software engineering, platform automation, and applied AI with agentic coding tools such as Claude Code and the Maister project, using Anthropic and other LLM providers. The position involves working closely with application teams to turn real migration cases into repeatable, reliable automation.

• Strong programming skills in Python
• Solid software engineering basics: Git, code review, testing, clean and maintainable code
• Working knowledge of CI/CD concepts and containerised environments (Docker, Kubernetes basics)
• Hands-on experience with, or strong interest in, LLMs and AI-assisted development (prompting, agents, tool use)
• Able to read and understand code in several languages, including legacy code (e.g., Java)
• Analytical, structured approach to problem-solving, comfortable with ambiguity and experimentation
• Good communication skills in English and a collaborative attitude

Nice to have:

• Experience with Tekton, ArgoCD or other GitOps/pipeline tools
• Ansible or other infrastructure-as-code tools
• Experience with agentic coding tools (Claude Code or similar) and agent frameworks
• Knowledge of LLM evaluation, context engineering, or the Model Context Protocol (MCP)
• Background in legacy modernisation, code migration or large-scale refactoring
• Familiarity with Java/Spring, front-end stacks, or other target technologies
• Experience working in a regulated or enterprise environment (e.g., banking)

• Design and improve agent workflows, prompts, and tooling that drive legacy code migrations
• Connect migration tooling to CI/CD and deployment platforms including Tekton, ArgoCD, and Ansible
• Work hands-on with agentic coding tools such as Claude Code and the Maister project using Anthropic and other LLM providers
• Collaborate closely with application teams to turn migration cases into repeatable and reliable automation