QA Engineer
Clera · San Francisco
- Location
- San Francisco
- Experience
- 3+ years
- Funding
- $3M
- Posted
- Oct 1, 2026
Clera is hiring a QA Engineer based in San Francisco. Every apply link on Engg.space goes straight to the company's own careers page - no recruiter middleman, no generic job-board form.
Apply directly at CleraRole details
ABOUT THE ROLE This is a foundational, first-hire QA role at an early-stage AI infrastructure company building a GPU fleet management platform that operates across a web UI, Slack, and an AI-native interface. You will own quality end-to-end, from agent behavior and conversational accuracy to real Kubernetes cluster operations, and you will shape how quality is practiced from day one. WHAT YOU'LL DO - Design and execute end-to-end tests for conversation flows, command accuracy, and real cluster operations across Slack and the web UI. - Build evaluation frameworks for agent behavior, validating correct answers, safe actions, and graceful handling of ambiguous or malformed requests. - Write integration tests in Go covering multicluster backend operations including install, upgrade, and failover scenarios. - Spin up and tear down Kubernetes test clusters on demand, validating controllers, operators, and CRDs across multiple Kubernetes versions. - Verify alerting systems fire correctly, route to Slack and the UI, and only trigger when appropriate. - Gate releases in CI/CD pipelines and convert bugs and incidents into regression tests. WHAT WE'RE LOOKING FOR - 3+ years of experience in QA, SDET, or test automation roles building or delivering test suites and automation frameworks. - Proficiency in Go, with hands-on experience writing integration tests against real infrastructure. - Strong Kubernetes knowledge, including testing controllers, operators, and CRDs against live clusters. - Solid Linux fundamentals and experience with CI/CD platforms such as GitHub Actions or similar. - Experience building end-to-end tests for web UIs, ideally using frameworks like Playwright. - Familiarity with monitoring and alerting tools such as Prometheus, Alertmanager, and Grafana. - Exposure to multicluster tooling, GitOps workflows, or infrastructure-as-code practices. - Background testing LLM-powered or conversational products, including building evals, is a strong plus. - Experience with chaos engineering tools and Kubernetes testing frameworks is a plus. - Prior experience as a first QA hire at an early-stage company is a plus. LOCATION On-site in San Francisco, CA. Visa sponsorship is not available.
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