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.