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The New York Times

QA Engineer

New York, NYFrom $110kmidAdded today

About this role

The New York Times is seeking a QA Engineer to serve as an embedded quality partner with product engineering teams, working across web, mobile, and API platforms. You'll balance rigorous testing with rapid release cycles, collaborate with offshore QA, and leverage modern automation and AI tools to enhance test coverage and deployment reliability.

What you'll do

  • Act as quality advisor to engineering teams, identifying test gaps and uncovering edge cases during feature development
  • Design and implement both manual and automated test cases aligned with product features
  • Coordinate testing efforts with offshore QA teams to maximize coverage
  • Build scalable test environments and automation frameworks to accelerate release velocity
  • Partner across development, DevOps, and product to define testing strategy from conception through deployment
  • Use observability tools (logs, metrics, telemetry) to surface product quality insights

What they're looking for

  • Python programming with focus on maintainable automation code
  • Selenium and Appium for web and mobile testing
  • REST, gRPC, and GraphQL API testing
  • CI/CD tools (Jenkins, GitHub Actions, or GitLab CI)
  • Docker and Kubernetes containerization
  • Cloud platforms (AWS, GCP, or Azure)
  • AI-assisted coding tools (Cursor, GitHub Copilot, Claude)
  • Test framework design and TestOps practices

Benefits

  • Hybrid role based in New York with 2 days per week in office
  • Annual base pay range: $94,000–$110,000 USD
  • Variable pay including potential annual bonus
  • Restricted stock eligibility
  • Opportunity to influence quality practices across a world-renowned organization
  • Work with cutting-edge journalism and digital platforms

Likely interview questions

  • Describe your experience building and maintaining test automation frameworks—what approach did you take to keep them scalable and easy to update?
  • Tell us about a time you identified a critical quality gap before it reached production. How did you communicate this to the engineering team?
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