You will own the reliability and operationalization of AI developer tools within the engineering environment.
Responsibilities
Administer, configure, and support AI Code Assistant tools (Cursor, Windsurf, Copilot, Codex), handling onboarding, policy configuration, and troubleshooting.
Build automation scripts using Python or Bash to streamline reporting, data collection, and platform operations.
Assist with basic DevOps platform tasks involving GitHub Enterprise, GitHub Actions, and similar tooling.
Monitor usage patterns, adoption metrics, and performance indicators for deployed AI developer tools.
Provide clear documentation, FAQs, and quick start guides to support enterprise-wide adoption.
Required Skills
5+ years of experience in engineering, DevOps, platform operations, or IT support.
Hands-on experience with AI developer tools such as Cursor, Windsurf, or Copilot.
Proficiency in Linux/Unix administration.
Strong scripting skills in Python or Bash for automation tasks.
Working knowledge of Git workflows and GitHub.
Ability to interact with and utilize REST APIs for querying and reporting.
Familiarity with AWS or basic containerization concepts (Docker).
Experience supporting developer teams and gathering technical requirements.