Job Description

Quality Engineering, Supercharged by Generative AI

What if your next role didn't just keep pace with the AI revolution — but put you at the controls We're searching for a Senior SDET who combines battle-tested automation expertise with a genuine appetite for GenAI-powered workflows. Here, tools like Claude Code, Cursor, and the OpenAI API aren't on a roadmap — they're in your daily rotation, helping you build smarter test systems, catch defects faster, and raise the bar for what quality actually means.

If you've been waiting for a role where automation craft and AI innovation meet on equal footing, this is it.

How You'll Make an Impact

Design intelligent, AI-augmented test architectures — move beyond cookie-cutter automation by leveraging generative AI to draft test scenarios, detect subtle edge cases, and accelerate root-cause analysis on failures.
Engineer and scale Selenium WebDriver frameworks in Python, Java, or JavaScript — delivering cross-browser regression suites that are fast, deterministic, and easy to extend.
Embed quality gates directly into CI/CD by authoring and tuning pipeline test stages in Jenkins, GitHub Actions, or Azure DevOps, so defective code never reaches production.
Transform test telemetry into strategic insight. Query databases with SQL, parse production logs, and build dashboards (Grafana, Tableau, or similar) that track coverage, defect density, and mean time to detect — giving leadership a clear quality pulse.
Shape what gets built, not just what gets tested. Partner with product managers and developers during design to lock down acceptance criteria and testability requirements upfront.
Raise the bar for the team through rigorous code reviews of automation PRs, hands-on mentorship of junior engineers, and championing GenAI-assisted best practices organization-wide.

What Sets This Opportunity Apart

AI tooling is table stakes, not a perk. Cloud resources, GenAI subscriptions, and modern CI/CD platforms are fully provisioned — spend your energy building, not requesting budget.
Quality is a first-class engineering discipline. You're embedded with developers from sprint planning to production release — never an afterthought, always a partner.
Ruthlessly lean processes. Documentation is concise, version-controlled, and linked to living automated checks. Heavyweight test plans have no home here.
Every test justifies its existence. Suites are continuously refactored; flaky or redundant tests are pruned so the pipeline stays sharp and trustworthy.

What You Bring to the Table

5+ years of hands-on software quality experience, with a minimum of 3 years building and maintaining test automation at scale.
Deep Selenium WebDriver knowledge — Page Object Model design, synchronization techniques, and reliable multi-browser execution.
Production-grade coding skills in Python, Java, or JavaScript — you write framework code that other engineers can read, extend, and trust.
Demonstrated use of GenAI tools (OpenAI API, Claude Code, Cursor, or equivalents) to solve real engineering problems — not just experimentation.
Hands-on CI/CD experience — you've configured, debugged, and optimized automated test stages in Jenkins, GitHub Actions, or Azure DevOps.
Strong analytical instincts — fluent in SQL, comfortable parsing structured and unstructured logs, and skilled at turning raw data into compelling visualizations.
Effective async communication — you write clearly, present test outcomes in business terms, and collaborate seamlessly across time zones in a remote-first setup.

Nice to Have

API testing expertise with Postman, REST Assured, or Playwright.
Performance and load testing experience using JMeter, k6, or Locust.
Comfort with containerized test infrastructure (Docker, Kubernetes).
Background in security testing, accessibility compliance, or mobile automation via Appium.
Open-source contributions in the testing or automation ecosystem.

What You'll Gain

Frontier-level GenAI-QA skills — you'll pioneer methodologies that the broader industry is still reading blog posts about.
End-to-end pipeline mastery across production-grade, multi-product CI/CD architectures.
Data-driven leadership fluency — learn to forecast defect trends, build executive-facing dashboards, and influence product roadmap decisions with quality data.
A clear trajectory forward — whether your ambition points toward Staff SDET, QA Manager, or cross-functional engineering leadership, you'll find mentorship, visibility, and real ownership to get there.

This role is for engineers who see quality as a craft worth advancing — and who want AI as their co-pilot, not a distant promise. Ready to lead from the front Let's talk.