We are building an end-to-end agent chain across two platforms:

Atlassian Rovo handles agile planning: capturing requirements, unlocking knowledge from Confluence/Jira, producing clean user stories with acceptance criteria, and preparing them for automated downstream processing.

GitLab Duo takes over once the story is ready: an agent receives the Jira story, derives a technical specification from it, creates the branch and code scaffold, writes initial tests, and opens a merge request for review.

Outcome: Working end-to-end prototype, defined handover point Jira ? GitLab, scaling concept

Atlassian Rovo Specialist (Planning & Story Creation)

Mission: Build agents that automate the path from idea to development-ready story.

Connect Confluence, Jira, and any other required knowledge sources
Build Rovo agents in Agent Studio so that they always operate in the right context and are tailored to the customer
Build Rovo agent templates in Agent Studio so that project/product teams can easily add their own context without prior expertise
Define a story format that can be processed automatically, and implement the handover to GitLab Duo
No prototypes — focus on scalability
In-depth experience with Jira Cloud and Confluence Cloud: workflows, fields, automation, permissions
Hands-on experience with Atlassian Rovo (Chat, Search, Agents)
Experience with the Jira REST API, webhooks, Forge or Connect
Prompt and context engineering for LLM agents
Confident German and English