Please mention DailyRemote when applying
AI Summary
Modernize legacy services using AI to analyze codebases and implement migration patterns like the strangler fig. Build AI-powered development infrastructure, including MCP servers and automated CI/CD pipelines for code review and testing.
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
- 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
What you'll do
Service Modernisation (50%)
Modernise Legacy Services Using AI
- Use AI to analyse codebases, understand dependencies, and extract clean APIs
- Work on high-impact legacy services that block divisional delivery speed
- Implement strangler fig patterns and other proven migration approaches
- Deliver modernised services with comprehensive tests, documentation, and multi-instance deployment capabilities
Ship Results Quickly
- Complete service modernisations in fast cycles with monthly milestones
- Use AI to accelerate every phase: analysis, refactoring, testing, documentation
- Hand off modernised services to Platform Services or divisions with clear ownership
- Demonstrate measurable improvements: faster APIs, better performance, higher reliability
AI Implementation & Automation (50%)
- Build AI-Powered Development Infrastructure
- Implement Model Context Protocol (MCP) servers for service discovery, dependency mapping, and architecture compliance
- Create AI-assisted CI/CD pipelines with automated code review, security scanning, and test generation
- Build automation using Claude Code, GitHub Copilot, and LLM APIs
- Develop reusable AI tooling that other engineers can adopt
Demonstrate AI-First Development
- Use AI for all coding tasks: refactoring, test creation, documentation, debugging
- Achieve measurable and significant productivity improvements through AI integration
- Document patterns and share learnings through your work
- Train teams during service handoffs on AI-enabled workflows you've built
- Demonstrate when to use AI vs when human judgement is critical
Automatically Apply to the Best Remote Jobs
Stop the endless job search. Our AI finds and applies to the best jobs for you.
