AI DevOps Engineer

Founded in 1999 in Vienna, the Qualysoft Group is a manufacturer-independent IT consulting and services company, which successfully provides support for its international customers with the aim of boosting their competitiveness and economic efficiency through innovative IT solutions. Its focus is on financial services providers, telecommunications companies, the automotive industry and energy service providers. Over 400 employees in 6 subsidiaries work together to ensure state of the art solutions for our clients. We are looking for new colleagues in Qualysoft teams for diverse projects providing continuous learning opportunities. Our common goal is to provide honesty, development and a stable background while getting to know the latest technologies. We are waiting for your application for the position below!

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

Design and implement AI-driven GitLab Duo agents that automate software development <workflows.Build> an intake agent that receives Jira stories and enriches them with context from repositories and documentation.Develop a specification agent that translates Jira requirements into detailed technical specifications, including:

Affected components

System interfaces

Data models

Test cases

Create an implementation agent that

Creates development branches

Generates code scaffolding

Produces initial test cases

Executes CI/CD pipelines

Opens merge requests with automated summaries

Implement bi-directional communication by writing status updates back to Jira.Establish governance and security guardrails, including:

Service accounts

Scoped access tokens

Protected branches

Mandatory code reviews

Full audit trails

Create demonstration scenarios and technical documentation.Conduct knowledge transfer sessions for internal stakeholders.Ensure the solution is scalable, maintainable, and suitable for long-term enterprise adoption.

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.