{"id":1659415,"url":"https://alion.io/job/genlogs-senior-qa-automation-engineer","title":"Senior QA Automation Engineer","company":{"id":673637,"name":"GenLogs","domain":"genlogs.io","url":"https://alion.io/company/genlogs","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"A","score":89,"open_postings":11,"ghost_share":0,"stale_share":0.455,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":173000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":87},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Computer Vision","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Cypress","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Next.js","optional":false},{"name":"Playwright","optional":false},{"name":"Postman","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-01T13:05:15Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-13T08:16:36Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"GenLogs is a transportation-technology company building the next generation of truck intelligence. Through a nationwide network of sensors and proprietary data, we deliver real-time, high-fidelity insights into freight movement for commercial supply-chain customers and public-sector agencies. Our mission is to strengthen America's logistics backbone, combat freight fraud and cargo theft, and provide near-instantaneous visibility into commercial motor vehicle activity across major freight corridors.\nABOUT THE ENGINEERING TEAM\nThe Engineering team at GenLogs builds and sustains the end-to-end systems that power the country's most advanced commercial-vehicle sensing and intelligence network, from roadside hardware and computer vision pipelines to distributed cloud infrastructure and real-time data services. We own the reliability, accuracy, and security of our sensor network and the data products it fuels. We value technical rigor, speed of execution, and durable infrastructure that delivers mission-critical impact.\nABOUT THE JOB\nAs a Senior QA Automation Engineer at GenLogs, you bring two things together: the judgment of a senior QA engineer who understands the platform and the business deeply, and the engineering skills to turn that understanding into automated integration and end-to-end test suites. You will use AI tools as a core part of your workflow to design, generate, and maintain tests at a pace manual approaches can't match. Your work directly supports our move toward daily deployments backed by reliable regression gates, where QA owns the release decision.\nWHAT YOU’LL DO\nLearn the GenLogs platform end to end: our products, data flows, customers, and the freight and transportation domain that drives them.\nReview specs and requirements early, identify gaps and ambiguities, and define clear acceptance criteria before development starts.\nTranslate business rules and product specs into clear test strategies, test cases, and acceptance criteria before code is written.\nDesign, build, and maintain automated integration and E2E test suites across ReactJS portals and python/NextJS APIs\nBuild and evolve a two-tier testing approach: fast mocked suites that run on every pull request, plus scheduled E2E suites against real backends using managed seed data.\nUse AI coding agents and LLM-based tools to generate tests from specs, expand coverage, triage failures, and keep suites healthy as the platform changes.\nIntegrate automated suites into CI/CD pipelines as regression gates that protect every release.\nOwn the release gate: define quality criteria, report on risk, and make clear go/no-go recommendations.\nValidate data accuracy and integrity using SQL against large-scale datasets.\nInvestigate defects and production issues, providing precise reproduction steps and root-cause insight to engineering.\nPartner with product, engineering, and data teams to raise quality standards and make testability part of every design discussion.\nTrack quality metrics such as escaped defects, regression trends, and release stability, and turn them into actionable improvements.\nTrack and reduce flaky tests, test debt, and gaps in coverage.\nREQUIRED QUALIFICATIONS\n5+ years of experience in software Quality Assurance, with at least 3 years focused on test automation.\nStrong programming skills in a modern language: Python, Java, Javascript, or Typescript\nHands-on experience with E2E frameworks such as Playwright or Cypress.\nSolid experience with API and integration testing (pytest, requests, Postman, or similar).\nProven, practical use of AI tools (Claude Code, Cursor, Copilot, or similar) to write, maintain, and scale automated tests.\nExperience integrating test suites into CI/CD pipelines and working with containerized environments.\nStrong SQL skills for data validation and test data management.\nExperience with test data strategies, including seeding, isolation, and handling non-idempotent operations.\nExceptional attention to detail and a habit of questioning assumptions in requirements and behavior.\nExcellent written and verbal communication skills, with the ability to explain risk clearly to technical and non-technical audiences.\nHigh effectiveness working in a remote and distributed team.\nPREFERRED QUALIFICATIONS\nExperience with spec-driven development, where specs drive code, tests, and documentation.\nExperience testing data-heavy or distributed systems, geospatial data, or computer vision outputs.\nBackground in logistics, transportation, or supply-chain technology.\nExperience building internal AI-assisted tooling or agent workflows for QA.\nJavaScript/TypeScript experience.\nIDEAL CANDIDATE\nYou learn about the business holistically and you test against how customers actually use the product.\nYou catch the edge case others miss and document it so clearly that nobody has to ask twice.\nYou treat test code as production code: clean, reviewed, and maintainable.\nYou see AI as a force multiplier and you know how to verify its output instead of trusting it blindly.\nYou anticipate risk, take initiative, and raise concerns early.\nYou value transparency, seek feedback, and build trust across teams.\nYou thrive in a remote environment and deliver results with 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