QA Automation Engineer

As 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., * Learn the GenLogs platform end to end: our products, data flows, customers, and the freight and transportation domain that drives them.

• Review specs and requirements early, identify gaps and ambiguities, and define clear acceptance criteria before development starts.
• Translate business rules and product specs into clear test strategies, test cases, and acceptance criteria before code is written.
• Design, build, and maintain automated integration and E2E test suites across ReactJS portals and python/NextJS APIs
• Build 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.
• Use AI coding agents and LLM-based tools to generate tests from specs, expand coverage, triage failures, and keep suites healthy as the platform changes.
• Integrate automated suites into CI/CD pipelines as regression gates that protect every release.
• Own the release gate: define quality criteria, report on risk, and make clear go/no-go recommendations.
• Validate data accuracy and integrity using SQL against large-scale datasets.
• Investigate defects and production issues, providing precise reproduction steps and root-cause insight to engineering.
• Partner with product, engineering, and data teams to raise quality standards and make testability part of every design discussion.
• Track quality metrics such as escaped defects, regression trends, and release stability, and turn them into actionable improvements.
• Track and reduce flaky tests, test debt, and gaps in coverage.

• 5+ years of experience in software Quality Assurance, with at least 3 years focused on test automation.
• Strong programming skills in a modern language: Python, Java, Javascript, or Typescript
• Hands-on experience with E2E frameworks such as Playwright or Cypress.
• Solid experience with API and integration testing (pytest, requests, Postman, or similar).
• Proven, practical use of AI tools (Claude Code, Cursor, Copilot, or similar) to write, maintain, and scale automated tests.
• Experience integrating test suites into CI/CD pipelines and working with containerized environments.
• Strong SQL skills for data validation and test data management.
• Experience with test data strategies, including seeding, isolation, and handling non-idempotent operations.
• Exceptional attention to detail and a habit of questioning assumptions in requirements and behavior.
• Excellent written and verbal communication skills, with the ability to explain risk clearly to technical and non-technical audiences.
• High effectiveness working in a remote and distributed team., * Experience with spec-driven development, where specs drive code, tests, and documentation.
• Experience testing data-heavy or distributed systems, geospatial data, or computer vision outputs.
• Background in logistics, transportation, or supply-chain technology.
• Experience building internal AI-assisted tooling or agent workflows for QA.
• JavaScript/TypeScript experience.

• You learn about the business holistically and you test against how customers actually use the product.
• You catch the edge case others miss and document it so clearly that nobody has to ask twice.
• You treat test code as production code: clean, reviewed, and maintainable.
• You see AI as a force multiplier and you know how to verify its output instead of trusting it blindly.
• You anticipate risk, take initiative, and raise concerns early.
• You value transparency, seek feedback, and build trust across teams.
• You thrive in a remote environment and deliver results with autonomy.

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.