About the RoleAs 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 & BenefitsSalary range: $180,000 to $200,000 USD annually. Visa sponsorship is not available.
LocationOn-site in San Francisco, California, United States.
