QA Engineer

Healthie•Los Angeles, CA

5d•$100,000 - $130,000•Hybrid

About The Position

Healthie is seeking a QA Engineer to join their collaborative QA team. The role involves testing a large, complex EHR platform, working closely with engineers, product managers, and designers to ensure the product meets customer needs. The ideal candidate will be hands-on, curious, detail-oriented, and empathetic towards clinicians and patients. Proficiency in using AI tools to enhance testing speed and quality is expected, alongside a critical evaluation of AI-generated output. This position offers ownership of product areas and supports professional growth within a dynamic culture. Healthie is an AI-enabled and AI-accelerated company that values automation and modern engineering practices.

Requirements

3+ years of experience in Quality Assurance, testing web applications and APIs.
Comfortable executing thorough manual test plans, and know when a test is worth automating.
Hands-on experience with Playwright or a similar automation framework (Cypress, Selenium, WebdriverIO).
Strong testing instincts: you spot edge cases, speak up when something feels off, and dig in to understand why something failed.
Fast learner who gets up to speed on unfamiliar features and domains.
Solid API testing skills and a working understanding of how frontend and backend systems fit together.
Experience using AI tools day-to-day, including Claude Code or other agentic coding tools, with a critical eye for their output.
Clear communicator who works well with engineers, product managers, and non-technical stakeholders.
U.S. work authorization is required.

Nice To Haves

Experience with GraphQL APIs.
Familiarity with Ruby, TypeScript, or reading code to help diagnose a bug.
Healthcare or regulated industry experience, including knowledge of HIPAA and PHI handling.

Responsibilities

Write and execute manual and automated test plans for web applications and APIs across the Healthie platform.
Contribute to our Playwright automation suite, with judgment about which tests are worth automating and which are better left manual.
Perform API testing using tools like Postman to validate backend services and data flows.
Test with the customer in mind, thinking about how real clinicians and patients use the product.
Learn new product areas quickly and build an understanding of where they're likely to break.
Collaborate with engineers and product teams throughout the development lifecycle to catch issues early.
Document defects with clear, detailed reproduction steps.
Use AI tools, including Claude Code and other agentic coding tools, to accelerate test case generation, edge case discovery, automation, and documentation, while reviewing the output critically.