{"id":3212641,"url":"https://alion.io/job/clera-qa-engineer-4","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":"2026-10-27T05:46:45Z"}},"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},{"name":"Slack","optional":false}],"status":"live","first_seen_at":"2026-10-24T17:22:51Z","employer_posted_date":"2026-10-24","last_verified_at":"2026-10-27T12:24:00Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About the Role\nJoin an early-stage AI infrastructure company as its first QA engineer, owning quality across an AI-native platform for managing GPU fleets. You will test conversational and web interfaces alongside Kubernetes infrastructure, helping ensure customer requests are handled safely and production systems remain reliable.\nWhat You'll Do\nTest conversational workflows end to end, checking response accuracy and actions performed on live clusters.\n\nBuild evaluations for AI agent behavior, including safe action handling and responses to ambiguous or invalid requests.\n\nCreate end-to-end tests for the web interface and verify behavior is consistent across 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 Kubernetes versions.\n\nVerify alerts reach the right destinations and fire only under appropriate conditions.\n\nGate releases through 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, building or delivering test suites and automation frameworks.\n\nStrong Go skills, including backend test automation or integration testing, and experience building end-to-end tests for web UIs.\n\nExperience testing or validating Kubernetes systems, plus familiarity with Linux and CI/CD platforms.\n\nExperience with React and RPC protocols such as gRPC.\n\nKnowledge of observability tools such as Prometheus, Alertmanager, or Grafana is useful.\n\nExperience with multicluster tooling, Kubernetes testing, chaos engineering, GPUs, or bare-metal infrastructure is beneficial.\n\nBackground testing conversational or LLM-powered products, building agent evaluations, or testing Slack apps is a plus.\n\nCompensation & Benefits\nBase salary: $180,000 to $200,000 annually. 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