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Mid-level QA automation in metro with broad tooling needs attracts many qualified applicants.
Low because QA automation and Python/JS skills are broadly transferable across industries.
Moderate due to explicit 2–4 years requirement plus required automation tooling and language proficiency.
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Design, execute, and maintain manual and automated tests for web applications, APIs, and backend services to ensure software quality and reliability.
Utilize AI-assisted engineering tools (e.g., ChatGPT, Codex, Claude) for code analysis, test generation, debugging, and documentation with engineering judgment to verify outputs.
Investigate and resolve production issues by analyzing logs, traces, and metrics, taking ownership of quality and system reliability.
2–4 years of professional experience in QA Automation, Test Engineering, or Software Engineering.
Hands-on experience with test automation tools such as Playwright, Selenium, Cypress, or Postman.
Proficiency in Python or JavaScript/TypeScript programming languages.
Familiarity with AI-assisted engineering tools like ChatGPT, Claude, or Codex and ability to apply them effectively in development workflows.
Experienced in independently investigating complex production issues and owning end-to-end resolution to improve system reliability.
Comfortable working with AI-assisted engineering tools while maintaining strong engineering judgment and not solely dependent on AI outputs.
Skilled at balancing manual testing with automated verification and capable of working across codebases involving APIs, backend services, and web applications.