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Job description
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.