Application Developer – Atlassian

Uber Uber · Consumer · San Francisco, CA +1 · Engineering

This role focuses on developing and scaling Atlassian-based systems (Jira, Confluence) for internal productivity at Uber. While it involves leveraging GenAI and Rovo Agents for workflow automation and integrating LLM capabilities, the core function is engineering enterprise productivity tools rather than building foundational AI models or core AI products.

What you'd actually do

  1. Build and Scale: Design and optimize Jira and Confluence environments that support how our teams move in the real world—where performance and scale are non-negotiable.
  2. Navigate Complexity: Solve messy, high-impact problems across the Atlassian toolchain (Structure, JEMH, EazyBI, ScriptRunner), often without a clear starting point.
  3. Automate the Future: Build and maintain AI-powered applications and Atlassian Rovo Agents to automate workflows and turn manual friction into seamless productivity.
  4. Integrate Deeply: Develop robust integrations using Atlassian REST and GraphQL APIs, ensuring data flows smoothly across our global tech stack.
  5. Own the Outcome: Own your work end-to-end, from the first requirement gathering session with stakeholders to debugging production issues when the stakes are high.

Skills

Required

  • 5+ years of hands-on experience administering and developing solutions on Atlassian platforms (Jira and Confluence Cloud/Data Center).
  • Proficiency in Jira workflows, custom fields, schemes, permissions, and advanced configurations.
  • Experience with ScriptRunner for automation and workflow enhancement.
  • Experience working with Atlassian REST and GraphQL APIs for third-party integrations.
  • Experience with Atlassian marketplace apps (Structure, JEMH, EazyBI).
  • Demonstrated use of AI-powered developer tools in a daily engineering workflow (e.g., AI-assisted coding or debugging).

Nice to have

  • Experience developing AI-enabled solutions using Atlassian Rovo Agents and LLM integrations.
  • Expertise in prompt engineering and agent actions within enterprise workflows.
  • Proven ability to design enterprise-scale dashboards and analytics using EazyBI.
  • Experience supporting large, complex organizations with rigorous governance requirements.
  • Strong systems thinking and the ability to thrive in high-ambiguity environments.

What the JD emphasized

  • build solutions for problems that don’t have a playbook
  • systems thinker who stays calm under pressure
  • messy, high-impact problems
  • rigorous governance requirements