About the Role
Join an early-stage team building an AI infrastructure platform for managing GPU fleets and Kubernetes clusters. As the first QA engineer, you will own product quality across conversational, web, and backend experiences, helping ensure that infrastructure changes are safe and reliable in production.
What You'll Do
Test conversational workflows end to end, including command accuracy and actions performed on real clusters.
Build evaluations for AI agent behavior, checking answer quality, safe actions, and handling of ambiguous or invalid requests.
Create end-to-end tests for the web interface and verify consistent behavior across web and conversational experiences.
Write Go integration tests for backend workflows, including cluster installation, upgrades, and failover.
Provision and tear down Kubernetes test clusters to validate controllers, operators, and CRDs across Kubernetes versions.
Verify alerts reach the appropriate interfaces and channels, and gate releases through CI.
Turn bugs and production incidents into regression tests.
What We're Looking For
At least 3 years of experience in QA, SDET, or test automation, with ownership of quality across a software product.
Strong Go skills, including backend test automation or integration testing, plus experience building end-to-end tests for web UIs.
Experience with Kubernetes, React, RPC systems such as gRPC, CI/CD, and Linux fundamentals.
Familiarity with monitoring and alerting tools such as Prometheus, Alertmanager, and Grafana.
Experience with LLM or conversational product testing, Kubernetes testing tools, chaos engineering, multicluster tooling, or Playwright is valuable.
Compensation & Benefits
Base salary: $180,000 to $200,000 annually. Visa sponsorship is not available.
Location
On-site in San Francisco, California, United States.