Rate: 155 pln/h net + VAT, B2B
Work model: hybrid (2-3 days per week from office Gdynia)
Overview
We are seeking a skilled engineer to join our team focused on building a Tech Modernization Framework. This framework utilizes AI to analyze legacy code repositories and reimplement them onto our contemporary, platform-approved technology stacks. The selected candidate will be responsible for designing and optimizing the agent workflows, prompts, and tools that facilitate these migrations, integrating them with our CI/CD and deployment platforms (Tekton, ArgoCD, Ansible).
Main Responsibilities
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Design and improve agent workflows for code migration.
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Integrate AI-driven tools with existing CI/CD pipelines.
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Collaborate with application teams to convert migration cases into efficient automation processes.
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Analyze legacy code to ensure successful migration.
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Maintain clean and maintainable code standards throughout the project.
Key Requirements
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Strong programming skills in Python.
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Solid understanding of software engineering fundamentals: Git, code review, testing, clean and maintainable code.
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Working knowledge of CI/CD concepts and containerized environments (Docker, Kubernetes basics).
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Hands-on experience with, or a strong interest in, LLMs and AI-assisted development.
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Able to read and understand code in multiple languages, including legacy code (e.g., Java).
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Analytical and structured problem-solving skills, comfortable with ambiguity and experimentation.
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Good communication skills in English and a collaborative attitude.
Nice to Have
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Experience with Tekton, ArgoCD or other GitOps/pipeline tools.
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Familiarity with Ansible or similar infrastructure-as-code tools.
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Experience with agentic coding tools (Claude Code or similar) and agent frameworks.
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Knowledge in LLM evaluation, context engineering, or the Model Context Protocol (MCP).
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Background in legacy modernization, code migration, or large-scale refactoring.
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Familiarity with Java/Spring, front-end stacks, or other target technologies.
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Experience in a regulated or enterprise environment (e.g., banking).
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