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
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Test conversational workflows end to end, including command accuracy and actions performed on live clusters.
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Build evaluations for AI agent behavior, checking response quality, safe actions, and handling of ambiguous or invalid requests.
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Create end-to-end tests for the web interface and verify consistency across product interfaces.
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Write Go integration tests for backend workflows, including installation, upgrades, and failover.
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Provision and remove Kubernetes test clusters to validate controllers, operators, and custom resources across Kubernetes versions.
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Verify alerts reach the appropriate interfaces and channels only when expected.
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Gate releases in CI and convert bugs and incidents into regression tests.
What We're Looking For
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At least 3 years in QA, SDET, or test automation, with experience building test suites or automation frameworks.
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Strong Go skills, including backend test automation or integration testing, and experience creating end-to-end tests for web UIs.
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Experience with Kubernetes, React, RPC systems such as gRPC, Linux, and CI/CD platforms.
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Familiarity with observability tools such as Prometheus, Alertmanager, or Grafana, and with Kubernetes testing or chaos engineering tools.
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Experience testing LLM-powered or conversational products and building behavioral evaluations is valuable.
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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.
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