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Wallet icon Coin icon Rate 6 000 € - 7 000 € / month info
Timer icon Form of cooperation Full-time
Briefcase icon Sector Information Technology
Location icon Location 100% Remote

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 4-16 months with the possibility of extension
Period of cooperation 15.09.2026 - 31.12.2026
Start date ASAP
Project duration 4-16 months with the possibility of extension
Period of cooperation 15.09.2026 - 31.12.2026
Start date ASAP
Technology
  • Confluence
  • JIRA
  • LLM Large Language Model
  • GitLab
  • GitLab CI/CD
Languages
  • English flag English - active, B2/C1/C2

Project description

  • design and implementation of an end-to-end agent chain between Atlassian Rovo, Jira, and GitLab Duo
  • development of an intake agent that receives Jira stories and retrieves relevant context from the repository and documentation
  • development of a specification agent to transform user stories into technical specifications
  • generation of information about affected components, interfaces, data models, and test cases
  • development of an implementation agent that creates a branch, code scaffold, and initial tests
  • automated triggering of GitLab pipelines and creation of Merge Requests
  • generation of implementation summaries and writing statuses back to Jira
  • design and implementation of LLM workflows including prompt design, context provisioning, and tool calling
  • integration and utilization of MCP in agentic workflows
  • configuration of GitLab CI/CD, runners, API, and webhooks for AI-driven development processes
  • implementation of security guardrails including service accounts, scoped tokens, and protected branches
  • ensuring mandatory code review and audit trail for AI-generated code
  • design of a scalable solution for other development teams and projects
  • preparation of a demo scenario, technical documentation, and knowledge transfer

Project requirements

  • min. 5 years of project experience in DevOps / Software Engineering / AI Engineering

  • experience with:
    • GitLab – advanced knowledge
    • GitLab CI/CD
    • GitLab runners
    • GitLab API and webhooks
    • GitLab permission model
    • GitLab Duo – Chat, Code Suggestions, Agentic/Duo Workflows
    • Jira and Confluence
    • LLM integrations
    • prompt design
    • context provisioning
    • tool calling
    • MCP
    • Python, TypeScript or Java
    • secure coding
    • AI-generated code review
       
  • experience with designing and implementing agentic AI workflows
  • ability to connect AI agents with development and CI/CD processes
  • good knowledge of Git workflows, branches, Merge Requests, and code review
  • knowledge of secure use of service accounts, tokens, and secrets
  • ability to design scalable solutions, not just quick prototypes
  • English at a communicative level (spoken and written)
     
  • advantageous experiences with:
    • Atlassian Rovo
    • multi-agent architectures
    • AI-assisted software development
    • Kubernetes or cloud-native environments
    • software supply chain security
    • automation of Jira/Confluence processes
       
  • autonomy and ownership
  • analytical thinking and problem-solving mindset
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