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7 дней назад

AI DevOps Engineer (GitLab Duo)

Формат работы
remote (только Hungary)
Тип работы
project
Грейд
senior
Английский
b2
Страна
Austria/Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI DevOps Engineer (GitLab Duo): Designing and building a scalable end-to-end agent chain connecting Atlassian Rovo and GitLab Duo to automate software delivery from Jira requirements through code generation, testing, and merge requests with an accent on GitLab automation, enterprise LLM integration, and secure access management. Focus on developing intake, specification, and implementation agents, integrating CI/CD workflows, and ensuring protected branches, mandatory reviews, and full audit trails.

Location: Remote, Budapest, Hungary

Company

hirify.global is an independent IT consulting and services company supporting international customers with innovative IT solutions across financial services, telecommunications, automotive, and energy.

What you will do

  • Design and implement AI-driven GitLab Duo agents for software development workflows.
  • Build an intake agent that receives Jira stories and enriches them with repository and documentation context.
  • Develop a specification agent that converts Jira requirements into technical specifications covering components, interfaces, data models, and test cases.
  • Develop an implementation agent that creates branches, generates code scaffolding and tests, runs CI/CD pipelines, and opens merge requests with automated summaries.
  • Build a production-oriented, scalable solution connecting Atlassian Rovo and GitLab Duo across the software delivery lifecycle.

Requirements

  • Strong expertise in GitLab, including CI/CD pipelines, GitLab Runners, APIs, webhooks, and permission and access management.
  • Hands-on experience with GitLab Duo, including Duo Chat, Code Suggestions, and agentic or Duo Workflows.
  • Experience integrating large language models into enterprise workflows.
  • Knowledge of prompt engineering, context provisioning, tool calling, and Model Context Protocol.
  • Software development experience with Python, TypeScript, or Java.
  • Experience designing secure and scalable automation solutions.

Culture & Benefits

  • Remote workplace arrangement.
  • Continuous learning opportunities across diverse projects.
  • Transparent environment with open communication and support for new ideas.
  • Stable working environment focused on development and modern technologies.

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