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.