Everlywell is a digital health company pioneering the next generation of biomarker intelligencecombining AI-powered technology with human insight to deliver personalized actionable health answers. We transform complex biomarker data into life-changing insightsseamlessly integrating advanced diagnostics virtual care and patient engagement to reshape how and where health happens.
Over the past decade Everlywell has delivered close to 1 billion personalized health insights transforming care for 60 million people and powering hundreds of enterprise 2024 alone an estimated 1 in 86 U.S. households received an Everlywell test solidifying our spot as the #1 at-home testing brand in the country. And were just getting started. Fueled by AI and built for scale were breaking down barriers closing care gaps and unlocking a more connected healthcare experience that is smarter faster and more personalized.
Were looking for a Senior QA Engineer who thrives in an AI-first engineering culture one where artificial intelligence is not just a tool but a force multiplier that enhances speed creativity and coverage in quality this role youll own the development and automation of test cases and test infrastructure and youll leverage AI to accelerate and augment every aspect of QA: from generating tests based on product specs to writing and maintaining automated test suites and surfacing insights from bugs and data anomalies.
Youll collaborate closely with engineering product and design to ensure a culture of quality is embedded from day one and your AI-enhanced workflows will set the bar for what a modern QA practice can achieve.
What Youll Do:
Use AI tools like Cursor to rapidly generate test cases from requirements user stories and code diffs.
Build and maintain automated end-to-end test suites using frameworks like Cypress Playwright or Selenium with AI assistance to speed up development and catch edge cases.
Integrate AI-driven static analysis code coverage tools and anomaly detection into CI/CD pipelines.
Define and manage test strategies for new product features with a focus on AI-augmented speed and accuracy.
Use LLMs and agents to simulate user behavior for broader scenario coverage.
Continuously evaluate and implement AI-powered QA platforms to improve regression smoke and exploratory testing.
Collaborate with engineers on shift-left testing practices pairing during development to catch issues early.
Monitor application performance errors and logs using tools like Sentry DataDog or equivalent augmented by AI-powered alerting and triage.
Contribute to defining AI-first QA best practices playbooks and tooling standards across the team.
Who You Are:
46 years of experience in QA engineering software testing or quality automation.
Strong experience with automated testing frameworks (e.g. Cypress Playwright Selenium).
Demonstrated usage of AI tools to accelerate or enhance QA processes such as Cursor Copilot Testim CodiumAI Diffblue or custom LLM-based tools.
Familiarity with writing maintaining and optimizing automated tests for modern web applications (React/ preferred).
Deep understanding of CI/CD test environments and software deployment practices.
Strong analytical and debugging skills able to quickly identify root causes and work cross-functionally to resolve issues.
Proactive communicator who thrives in a collaborative high-velocity environment.
Nice to Have:
Experience with AI agents for QA (e.g. auto-test authors regression explorers or defect triagers).
Familiarity with backend testing including API-level test automation (Postman REST Assured etc).
Exposure to healthcare or regulated industries.
Knowledge of performance testing tools (e.g. k6 JMeter) or visual regression testing suites.
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