About the job
Job Title - Senior Java Engineer
Location - Poland
Years of experience - 8+ years of experience
What you'll need for this role
Backend Engineering
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8+ years software engineering with Java backend expertise
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Experience modernising production systems at scale
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Strong API design and microservices architecture knowledge
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Understanding of strangler fig patterns, service decomposition, and legacy migration strategies
AI/LLM Implementation (Critical Differentiator)
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Hands-on experience building with Model Context Protocol (MCP)
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Demonstrated use of Claude Code, GitHub Copilot, or similar AI development tools in production work
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Experience implementing AI in CI/CD pipelines (code review, testing, security scanning)
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Built agentic AI solutions or AI-powered automation tools
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Understanding of prompt engineering, model selection, and LLM
capabilities/limitations
Proven AI Impact
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Achieved measurable productivity improvements using AI in development
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Implemented AI-assisted refactoring, test generation, or documentation at scale
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Experience with AI code analysis and automated remediation
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Track record of shipping production systems built with AI assistance
What you'll do
Service Modernisation (50%)
Modernise Legacy Services Using AI
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Use AI to analyse codebases, understand dependencies, and extract clean APIs
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Work on high-impact legacy services that block divisional delivery speed
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Implement strangler fig patterns and other proven migration approaches
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Deliver modernised services with comprehensive tests, documentation, and multi-instance deployment capabilities
Ship Results Quickly
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Complete service modernisations in fast cycles with monthly milestones
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Use AI to accelerate every phase: analysis, refactoring, testing, documentation
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Hand off modernised services to Platform Services or divisions with clear ownership
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Demonstrate measurable improvements: faster APIs, better performance, higher reliability
AI Implementation & Automation (50%)
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Build AI-Powered Development Infrastructure
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Implement Model Context Protocol (MCP) servers for service discovery, dependency mapping, and architecture compliance
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Create AI-assisted CI/CD pipelines with automated code review, security scanning, and test generation
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Build automation using Claude Code, GitHub Copilot, and LLM APIs
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Develop reusable AI tooling that other engineers can adopt
Demonstrate AI-First Development
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Use AI for all coding tasks: refactoring, test creation, documentation, debugging
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Achieve measurable and significant productivity improvements through AI integration
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Document patterns and share learnings through your work
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Train teams during service handoffs on AI-enabled workflows you've built
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Demonstrate when to use AI vs when human judgement is critical
