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
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Test conversational workflows end to end, including response accuracy and actions taken on live clusters.
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Build evaluations for agent behavior, covering correct answers, safe actions, and ambiguous or invalid requests.
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Create end-to-end tests for web interfaces and verify consistent behavior across 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 versions.
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Verify that alerts fire as expected and reach the appropriate chat and web interfaces.
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Gate releases in CI and turn bugs and incidents into regression tests.
What We're Looking For
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At least 3 years of experience in QA, SDET, or test automation, building or delivering test suites and automation frameworks.
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Strong Go skills, including backend test automation or integration testing, and experience building end-to-end tests for web UIs.
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Hands-on experience with Kubernetes, React, RPC systems such as gRPC, CI/CD, and Linux fundamentals.
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Familiarity with observability tools such as Prometheus, Alertmanager, or Grafana.
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Experience with LLM-powered or conversational products, agent evaluations, multicluster tools, or chaos and Kubernetes testing is valuable.
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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.
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