QA Engineer

ABOUT THE ROLE As the first QA engineer on an early-stage AI infrastructure team, you will own quality and test automation for a platform that manages GPU and Kubernetes environments. Your work will help ensure that conversational interfaces, web tools, and backend operations behave safely and reliably in production. WHAT YOU'LL DO - Test conversational workflows end to end, including response accuracy and actions taken on live clusters. - Build evaluations for agent behavior, covering correct answers, safe actions, and ambiguous or invalid requests. - Create end-to-end tests for web interfaces and verify consistent behavior across interfaces. - Write Go integration tests for backend workflows, including installation, upgrades, and failover. - Provision and remove Kubernetes test clusters to validate controllers, operators, and custom resources across versions. - Verify that alerts fire as expected and reach the appropriate chat and web interfaces. - Gate releases in CI and turn bugs and incidents into regression tests. WHAT WE'RE LOOKING FOR - At least 3 years of experience in QA, SDET, or test automation, building or delivering test suites and automation frameworks. - Strong Go skills, including backend test automation or integration testing, and experience building end-to-end tests for web UIs. - Hands-on experience with Kubernetes, React, RPC systems such as gRPC, CI/CD, and Linux fundamentals. - Familiarity with observability tools such as Prometheus, Alertmanager, or Grafana. - Experience with LLM-powered or conversational products, agent evaluations, multicluster tools, or chaos and Kubernetes testing is valuable. - Exposure to GPUs, bare-metal infrastructure, chat integrations, or UI testing frameworks such as Playwright is a plus. COMPENSATION & BENEFITS Salary range: $180,000 to $200,000 USD annually. Visa sponsorship is not available. LOCATION On-site in San Francisco, California, United States.