{"id":1507004,"url":"https://alion.io/job/quantum-capital-group-sdet","title":"SDET","company":{"id":2789,"name":"Quantum Capital Group","domain":"quantumcap.com","url":"https://alion.io/company/quantum-capital-group","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"QA","role_family":"QA","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13000,"max_usd":32000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure 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Security","optional":false},{"name":"TypeScript","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-09-30T06:14:08Z","employer_posted_date":null,"last_verified_at":"2026-09-30T06:14:08Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Responsibilities:\nDefine and own the end-to-end test strategy for all initiatives, from feature-level acceptance criteria through system and regression testing.\nEstablish quality gates, test coverage standards, and release readiness criteria across the engineering organization.\nChampion a shift-left testing culture by embedding quality practices early in the product development lifecycle.\nDesign, build, and maintain scalable test automation frameworks for UI, API, and data layers.\nDevelop automated regression and smoke test suites integrated into CI/CD pipelines such as GitHub Actions, Azure DevOps, or similar tools.\nImplement performance and load testing to validate system behavior at scale.\nValidate embedding models and vector search pipelines using semantic similarity, recall@k, precision metrics, and tools such as RAGAS, DeepEval, or custom harnesses.\nBuild regression suites for LLM-powered features to detect prompt regressions, hallucination patterns, and output drift across model versions.\nCollaborate with AI/ML engineers to define ground-truth datasets, golden datasets, and human-in-the-loop evaluation workflows.\nTest multi-modal and agentic AI systems for correctness, safety, and performance.\nPartner with product managers, software engineers, and data scientists to review requirements and identify testable acceptance criteria early.\nParticipate in sprint planning and retrospectives, representing quality and risk perspectives.\nReport test results, defect trends, and quality metrics to engineering leadership with actionable insights.\nRequirements:\n6+ years of individual contributor experience in software QA and test automation roles.\nDemonstrated track record of building and maintaining automation frameworks using Playwright, Selenium, Cypress, or pytest.\nHands-on experience testing AI/ML systems, particularly RAG pipelines, LLM outputs, embeddings, or semantic search.\nProficiency in Python and/or JavaScript/TypeScript for framework and tooling development.\nExperience integrating automated tests into CI/CD pipelines.\nMost recent experience at a technology or product-led company.\nBachelor's or master's degree in computer science, software engineering, or a related field from a Tier 1 or Tier 2 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