Backend Engineering, • 8+ years software engineering with Java backend expertise, • Experience modernising production systems at scale, • Strong API design and microservices architecture knowledge, • Understanding of strangler fig patterns, service decomposition, and legacy migration strategies, , AI/LLM Implementation (Critical Differentiator), • Hands-on experience building with Model Context Protocol (MCP), • Demonstrated use of Claude Code, GitHub Copilot, or similar AI development tools in production work, • Experience implementing AI in CI/CD pipelines (code review, testing, security scanning), • Built agentic AI solutions or AI-powered automation tools, • Understanding of prompt engineering, model selection, and LLM capabilities/limitations, , Proven AI Impact, • Achieved measurable productivity improvements using AI in development, • Implemented AI-assisted refactoring, test generation, or documentation at scale, • Experience with AI code analysis and automated remediation, • Track record of shipping production systems built with AI assistance, , Culture & Leadership Style – What Matters Most, • Delivery-focused: Ship working modernised services, don't just build tools, • Hands-on: Write code daily, don't just architect or advise, • Pragmatic: Use AI to go faster, not to be clever, • Teacher through doing: Others learn by seeing your PRs and shipped work, • Measurement-driven: Track your AI productivity gains and share data, • Collaborative: Work across divisions and time zones professionally

birthday off, Multikafeteria system, sharing the costs of sports activities, private medical care, sharing the costs of professional training & courses, life insurance, flexible working time, fruits, integration events, retirement pension plan, corporate library, no dress code, video games at work, coffee / tea, parking space for employees, leisure zone, extra social benefits, charity initiatives