{"id":2212067,"url":"https://alion.io/job/clera-qa-engineer-3","title":"QA Engineer","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-10T05:45:15Z"}},"role":"QA","role_family":"QA","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Alertmanager","optional":false},{"name":"Chaos Engineering","optional":false},{"name":"CI/CD","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"gRPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Prometheus","optional":false}],"status":"live","first_seen_at":"2026-10-10T01:12:45Z","employer_posted_date":"2026-10-10","last_verified_at":"2026-10-10T23:34:29Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\nJoin an early-stage AI infrastructure team as its first QA engineer, owning quality and test automation across a GPU fleet management platform. Your work will help ensure that conversational and web interfaces, backend services, and Kubernetes operations behave reliably and safely in production.\nWhat You'll Do\nTest conversational workflows end to end, including command accuracy and actions performed on live clusters.\n\nBuild evaluations for AI agent behavior, checking response quality, safe actions, and handling of ambiguous or invalid requests.\n\nCreate end-to-end tests for the web interface and verify consistent behavior across product interfaces.\n\nWrite Go integration tests for backend workflows such as installation, upgrades, and failover.\n\nProvision and tear down Kubernetes test clusters to validate controllers, operators, and custom resources across versions.\n\nVerify alert delivery across product interfaces and chat, and ensure alerts fire appropriately.\n\nGate releases in CI and turn bugs and incidents into regression tests.\n\nWhat We're Looking For\nAt least 3 years of experience in QA, SDET, or test automation, including ownership of product quality and test suites.\n\nStrong Go skills for integration testing or backend test automation, plus experience building end-to-end web UI tests.\n\nHands-on experience with Kubernetes, React, RPC systems such as gRPC, CI/CD, and Linux fundamentals.\n\nFamiliarity with monitoring and alerting tools such as Prometheus, Alertmanager, or Grafana.\n\nExperience testing conversational or LLM-powered products, building agent evaluations, or working with GPU infrastructure is valuable.\n\nExposure to multicluster tooling, chaos engineering, Kubernetes testing tools, and UI automation frameworks is a plus.\n\nCompensation & Benefits\nAnnual salary: $180,000 to $200,000 USD. 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