Full Description

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 GenAI tools like Claude Code, Cursor, and the OpenAI 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 GenAI 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 JavaScript) that keep regression suites fast, stable, and meaningful across browsers and environments. Wire automated tests into CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps — 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, GenAI-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. GenAI 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 WebDriver expertise — Page Object Model, explicit/implicit waits, cross-browser execution. Strong coding ability in Python, Java, or JavaScript for framework development and scripting. Proven experience with GenAI tools (OpenAI API, Claude Code, Cursor, or similar) applied to real engineering workflows. CI/CD familiarity — hands-on with Jenkins, GitHub Actions, or Azure DevOps 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 GenAI-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.