Clinically AI
Healthcare
QAEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“QA Engineer at Clinically AI. Skills: QA Engineering, Automated Testing, API Testing, SaaS Testing. Own quality for features. Develop test plans”
What You'll Achieve.
Ensure platform reliability; Ensure platform performance; Ensure platform correctness; Embed quality early in development; Establish clear quality signals for releases; Scale quality as company grows
Industry & Context.
Analytical and problem-solving skills; Isolate root causes; Identify edge cases
What They're Looking For.
Must Have
3+ years of QA experience testing modern SaaS/web applications, Experience writing automated tests using Playwright (or similar frameworks such as Cypress, WebdriverIO, Selenium), understanding of modern front-end behavior, browser debugging tools, and DOM/network analysis, Hands-on experience validating RESTful APIs, including authentication, roles, permissions, and error cases, Comfort writing automated tests in JavaScript/TypeScript, Familiarity with CI/CD pipelines (GitHub Actions preferred) and integrating automated tests into release workflows, analytical and problem-solving skills—able to isolate root causes and communicate findings clearly, Excellent collaboration skills and comfort working closely with engineering, product, and customer-facing teams, High ownership mindset and ability to operate in a fast-paced, high-growth environment
Nice to Have
Experience testing React applications, browser extensions, or real-time web interfaces, Exposure to mobile app testing (iOS/Android) using simulators or physical devices, Experience with performance or load testing tools (k6, JMeter, Locust), Familiarity with GCP, cloud-based deployments, or distributed systems, Background working in regulated or security-focused environments (HIPAA, SOC2, NIST), Experience testing AI/LLM-based features or products with non-deterministic behavior
What You'll Do.
Own quality for features
Build automated regression tests
Enhance automated regression tests
Validate API functionality
Validate API error handling
Validate API data integrity
Participate in release validation
Participate in smoke testing
Contribute to SDLC improvement
Contribute to release process improvement
Contribute to QA documentation improvement
Contribute to test automation strategy improvement
How You'll Work.
Team & Collaboration
Partner closely with engineers and product managers; Collaborate early with Product & Engineering; Work closely with engineering, product, and customer-facing teams
Communication Scope
Communicate findings clearly
Full Job Description
QA ENGINEER Location: Hybrid – San Diego | Type: Full-Time | Team: Product & Engineering Compensation: $80K–$120K ABOUT CLINICALLY AI Clinically AI is redefining how Behavioral Health and Long-Term Care organizations work by delivering an intelligence layer that automates documentation, auditing, and operational workflows at scale. Our platform already creates immense value—saving thousands of hours and strengthening sustainability for providers serving the nation’s most vulnerable communities. We’re profitable, expanding rapidly, and engineering our way through some of the hardest problems in healthcare. Quality is at the heart of everything we deliver. As we grow, we’re investing in a modern QA function that blends rigorous testing, strong automation practices, and AI-powered tooling to ensure our products remain fast, reliable, and safe for clinicians across the country. If you’re a QA engineer who thrives on building high-confidence systems, enjoys breaking complex product surfaces in thoughtful ways, and wants to contribute to an engineering culture that moves fast without sacrificing quality—this is the place for you. THE OPPORTUNITY As a QA Engineer at Clinically AI, you will be responsible for ensuring the reliability, performance, and correctness of a platform used daily by thousands of clinicians. You’ll work across the entire product ecosystem—React front-ends, Node services, browser extensions, mobile apps, and AI-powered services—designing test plans, building automated regression suites, and partnering closely with engineers and product managers to embed quality early in the development lifecycle. You’ll play a foundational role in shaping QA best practices, improving our automation infrastructure, and establishing clear quality signals for releases. This is a high-ownership role where you’ll have significant influence over how we scale quality as the company grows. CORE RESPONSIBILITIES - Own quality for features across web apps, browser extensions, A
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