Senior QA Engineer
Listed on 2026-09-01
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Software Development
Software Testing, AI QA / Validation Engineer
Senior QA Engineer
We're looking for a Senior QA Engineer to join a strong, collaborative QA team 'll bring deep expertise and fresh thinking that helps the whole team grow. This isn't a role where you maintain the status quo; you'll have a real impact on how we build and ship software as our products grow. We want someone who is exceptional at testing: sharp enough to learn a complex product fast, curious enough to find what others miss, and empathetic enough to always be thinking about the people on the other side of the screen.
AI tools are a core part of how we work, and we expect you to use them fluently but pragmatically, with the expertise and judgment to know what good looks like. You'll work alongside a talented team of QA engineers, contributing to testing strategy and collaborating closely with engineers, product managers, and designers across a large, complex EHR platform. Where AI-powered products are in scope, you'll bring the same rigor you apply everywhere else.
At Healthie, we are AI-enabled and AI-accelerated in how we build. We are looking for team members who actively leverage AI-powered development tools, embrace automation, and help teams adopt modern, AI-assisted engineering practices to increase velocity and quality.
Key responsibilities:
- Design and execute comprehensive test plans for web applications and APIs across a large, complex EHR platform, applying judgment about where manual coverage matters most and where automation earns its keep.
- Build and maintain test automation using Playwright, contributing to a growing suite of reliable, maintainable tests.
- Perform thorough API testing using tools like Postman to validate backend services and data flows.
- Approach every test with the customer in mind, acting as a proxy for the people who rely on Healthie every day and advocating for their experience.
- Get up to speed on new product areas quickly, developing a critical eye for how things should work and where they are likely to break.
- Collaborate with engineers and product teams throughout the development lifecycle to catch issues early and uphold quality standards.
- Document defects with clear, detailed reproduction steps, especially for complex or non-deterministic workflows.
- Use AI tools pragmatically to accelerate your work, including test case generation, edge case discovery, code writing, and documentation, while owning the output critically.
- Contribute to QA process improvements and help the team adopt better testing patterns over time.
About you:
- 8+ years of experience in Quality Assurance, with a track record of finding bugs others miss and building test coverage that holds up over time.
- Deep customer empathy; you think about real users as you test, act as their proxy, and advocate for their experience when something feels off.
- Exceptional testing instincts, with a natural ability to identify edge cases, think adversarially, and dig until you understand a failure completely.
- Fast product learner; you get up to speed on new features and domains quickly and approach them with a critical, questioning eye.
- Strong sense of when enough is enough; you use experience and context to make confident calls about coverage, balancing thoroughness with the pace of a fast-moving team.
- Technically fluent across the stack: solid API testing skills, strong working knowledge of GraphQL, comfortable reading logs and digging into a codebase when a bug needs it.
- Ruby and Type Script familiarity is a plus.
- Comfortable with Playwright and test automation, and fluent with AI tools for generating tests, surfacing edge cases, and moving faster without sacrificing judgment.
- Strong communicator who works well across engineering, product, and clinical stakeholders; healthcare or regulated industry experience is a meaningful plus.
Bonus Points:
- Experience configuring testing and deployment practices, including CI/CD pipelines and release process tooling.
- Experience testing AI/ML systems, NLP outputs, transcription accuracy, or other probabilistic models.
- Knowledge of HIPAA compliance requirements and how they apply to PHI handling in software.
- Familiarity with Claude Code or other agentic coding tools.
Details:
- Full-tim…
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