AI DevOps Engineer
Summary
Builds AI-driven automation of the software delivery lifecycle at Qualysoft in Budapest: designing GitLab Duo agents (intake, specification, implementation) that connect Jira and GitLab to generate specs, code, tests, and merge requests. Requires deep GitLab/CI-CD expertise, LLM integration skills, and Python, TypeScript, or Java.
We are looking for an experienced AI DevOps Engineer / GitLab Duo Specialist to help design and build a scalable end-to-end agent chain that bridges Atlassian Rovo and GitLab Duo.
The objective is to automate the software delivery lifecycle, from requirements gathering and user story creation in Jira to technical specification, code generation, testing, and merge request creation in GitLab. The engagement focuses on delivering a production-oriented, scalable solution rather than a proof of concept.
Responsibilities:
- Affected components
- System interfaces
- Data models
- Test cases
- Creates development branches
- Generates code scaffolding
- Produces initial test cases
- Executes CI/CD pipelines
- Opens merge requests with automated summaries
- Service accounts
- Scoped access tokens
- Protected branches
- Mandatory code reviews
- Full audit trails
Requirements:
Technical Expertise
- Strong expertise in GitLab, including:
- CI/CD pipelines
- GitLab Runners
- GitLab APIs
- Webhooks
- Permission and access management models
- Hands-on experience with GitLab Duo, including:
- Duo Chat
- Code Suggestions
- Agentic/Duo Workflows
- Experience integrating Large Language Models (LLMs) into enterprise workflows.
- Strong understanding of:
- Prompt engineering
- Context provisioning
- Tool calling
- Model Context Protocol (MCP)
- Solid software development experience in at least one of the following languages:
- Python
- TypeScript
- Java
- Experience designing secure and scalable automation solutions.
Skills
As published by lever
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