Teams at Red Hat

Conduct interviews with partners, solution architects, and sales teams to identify enterprise AI use cases. Analyze findings, map customer needs to Red Hat’s AI platform and partner ecosystem, identify go-to-market opportunities, and present strategic recommendations to AI Ecosystem leadership.

Develop and maintain automated quality assurance tools, test plans, scripts, and procedures for software running on hardware accelerators. Investigate defects, conduct probe testing, track issues in Jira, collaborate with developers and customers, and coordinate bug fixes. Ensure release readiness, maintain test coverage for CVEs and updates, and support upstream open-source contributions using Python, Bash, GitHub/GitLab automation, containers, and DevOps practices.

Design, develop, and maintain automated test suites, test environments, and testing frameworks using Python. Build tooling for infrastructure deployment, CI/CD pipelines, and test-result reporting. Interpret customer use cases, investigate and document bugs, assess feature quality, and communicate testing status. Collaborate with internal teams in an agile environment.