QA Engineer

ABOUT THE ROLE Join an early-stage AI infrastructure company as its first QA engineer, owning quality across a GPU fleet management platform. You will test conversational and web interfaces alongside the Kubernetes-based backend, helping ensure infrastructure changes are safe and reliable. WHAT YOU'LL DO - Test conversational workflows end to end, including command accuracy and actions performed on live clusters. - Build evaluations for AI agent behavior, checking response quality, safe actions, and handling of ambiguous or invalid requests. - Create end-to-end tests for the web interface and verify consistency across product 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 Kubernetes versions. - Verify alerts reach the appropriate interfaces and channels only when expected. - Gate releases in CI and convert bugs and incidents into regression tests. WHAT WE'RE LOOKING FOR - At least 3 years in QA, SDET, or test automation, with experience building test suites or automation frameworks. - Strong Go skills, including backend test automation or integration testing, and experience creating end-to-end tests for web UIs. - Experience with Kubernetes, React, RPC systems such as gRPC, Linux, and CI/CD platforms. - Familiarity with observability tools such as Prometheus, Alertmanager, or Grafana, and with Kubernetes testing or chaos engineering tools. - Experience testing LLM-powered or conversational products and building behavioral evaluations is valuable. - Experience with multicluster tooling, GPU or bare-metal infrastructure, Playwright, or Slack applications is a plus. COMPENSATION & BENEFITS Base salary: $180,000 to $200,000 annually. Visa sponsorship is not available. LOCATION On-site in San Francisco, United States.