Senior QA Automation Engineer

GenLogs•Washington, DC
•Remote

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.
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