Senior QA Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior QA Engineer (AI): Developing and automating end-to-end test suites for a digital health platform with an accent on AI-enhanced workflows and test infrastructure. Focus on leveraging LLMs and AI tools to accelerate test generation, simulating user behavior, and implementing shift-left testing practices.
Location: Austin, TX
Company
is a digital health company pioneering the next generation of biomarker intelligence, combining AI-powered technology with human insight to deliver personalized health answers.
What you will do
- Build and maintain automated E2E test suites using frameworks like Cypress, Playwright, or Selenium.
- Leverage AI tools such as Cursor to rapidly generate test cases from requirements, user stories, and code diffs.
- Integrate AI-driven static analysis, code coverage tools, and anomaly detection into CI/CD pipelines.
- Use LLMs and agents to simulate user behavior for broader scenario coverage.
- Collaborate with engineers on shift-left testing practices, pairing during development to catch issues early.
- Monitor application performance and errors using Sentry and DataDog, augmented by AI-powered alerting and triage.
Requirements
- 6+ years of experience in QA engineering, software testing, or quality automation.
- Strong expertise with automated testing frameworks (Cypress, Playwright, Selenium).
- Demonstrated usage of AI tools (e.g., Cursor, Copilot, Testim, CodiumAI) to enhance QA processes.
- Experience optimizing automated tests for modern web applications, preferably using React or Next.js.
- Deep understanding of CI/CD, test environments, and software deployment practices.
- Must be based in Austin, TX
Nice to have
- Experience with AI agents for auto-test authorship, regression exploration, or defect triaging.
- Familiarity with API-level test automation using Postman or REST Assured.
- Experience working in healthcare or other regulated industries.
- Knowledge of performance testing tools like k6 or JMeter, and visual regression suites.
Culture & Benefits
- AI-first engineering culture where AI is utilized as a force multiplier for speed and creativity.
- Collaborative, high-velocity work environment.
- Opportunity to define AI-first QA best practices and tooling standards.
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