Senior Test Automation Engineer: GenAI-Driven QA Leader

• Build the Future of Quality — With AI in Your Toolkit
• We're looking for a

Senior Test Automation Engineer who's ready to work at the intersection of quality engineering and generative AI.

This isn't a traditional QA role — it's a chance to shape how modern teams ship reliable software by combining deep automation expertise with cutting-edge Gen AI tools like Claude Code, Cursor, and the Open AI API.

If you believe quality is a strategic advantage (not just a checkbox), and you thrive in environments where automation, data, and AI converge — keep reading.

What You'll Do

• Own test automation strategy end-to-end for key product areas — from framework architecture to execution and continuous improvement.
• Harness Gen AI tools daily to generate test cases, parse logs, surface edge cases, and accelerate exploratory testing in ways most teams haven't tried yet.
• Build and scale Selenium-based frameworks (Python, Java, or Java Script) that keep regression suites fast, stable, and meaningful across browsers and environments.
• Wire automated tests into CI/CD pipelines using Jenkins, Git Hub Actions, or Azure Dev Ops — ensuring every code change is validated before it ships.
• Analyze test results and production data to uncover failure patterns, define quality KPIs (coverage, defect density, MTTD), and present actionable insights to engineering leadership.
• Review automation code and mentor junior engineers on framework best practices, Gen AI-assisted workflows, and data-driven decision-making.
• Partner with product and dev teams from the design phase — defining acceptance criteria, testability requirements, and quality standards before a single line of code is written.
• What Makes This Role Different
• AI-first QA workflow. Gen AI tools and cloud infrastructure are already provisioned — no fighting for budget or buy-in.
• Embedded, not siloed. You work alongside engineers from design through deployment, not downstream from them.
• Lean documentation. No 50-page test plans. Every artifact is living, actionable, and tied to automated checks.
• Signal over noise. Test suites are actively pruned — every test earns its spot in the pipeline.

What We're Looking For

• 5+ years in software QA, with at least 3 years dedicated to test automation.
• Selenium Web Driver expertise — Page Object Model, explicit/implicit waits, cross-browser execution.
• Strong coding ability in Python, Java, or Java Script for framework development and scripting.
• Proven experience with Gen AI tools (Open AI API, Claude Code, Cursor, or similar) applied to real engineering workflows.
• CI/CD familiarity — hands-on with Jenkins, Git Hub Actions, or Azure Dev Ops pipeline configuration.
• Data analysis chops — comfortable writing SQL, parsing logs, and building dashboards with Grafana, Tableau, or comparable tools.
• Clear communication skills — you translate technical test outcomes into business-impact language for stakeholders.
• Remote-ready mindset — self-directed, organized, and effective in asynchronous, distributed teams.
• Bonus Points
• Experience with API testing (Postman, REST Assured, Playwright).
• Familiarity with performance testing tools (JMeter, k6, Locust).
• Hands-on work with Docker or Kubernetes for containerized test environments.
• Background in security testing, accessibility testing, or mobile automation (Appium).
• Contributions to open-source automation projects.
• What You'll Gain
• Pioneering Gen AI-QA practices that put you ahead of the industry curve.
• Deep CI/CD pipeline engineering experience across production-grade, multi-product architectures.
• Executive-level quality strategy skills — building dashboards, forecasting defect trends, and influencing product roadmaps through data.
• A clear growth path toward Staff QA Engineer or QA Manager, with real mentorship and leadership opportunities along the way.

This is a role for someone who sees quality engineering as a craft worth pushing forward. If that sounds like you, we'd love to hear from you.

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