Senior QA Engineer
Embrace Software Inc
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This is a remote position. Embrace Healthcare Group powers some of the most innovative healthcare technology solutions in North America, with a focus on enhancing clinical efficiency and compliance across emergency care settings. EPOWERdoc, a leading SaaS platform within the Embrace Healthcare Group portfolio, specializes in Emergency Department Information Systems (EDIS) tailored for hospitals of all sizes. Designed by clinicians for clinicians, EPOWERdoc streamlines emergency room documentation with intuitive workflows, customizable templates, peer-reviewed clinical content, and real-time coding assistance—helping providers reduce documentation time and focus more on patient care. We’re looking for a Senior QA Engineer to build EPOWERdoc’s next-generation quality engineering practice, AI-native from day one. This is a hands-on builder role: you’ll choose and architect our test automation stack, write much of the code yourself, and use AI coding agents every day to design, generate, maintain, and triage tests. You’ll also own how we test AI itself. You’ll design the evaluation harnesses and guardrails that show EPOWERdoc’s AI-powered capabilities are accurate, safe, and dependable enough for an emergency department. You’ll partner closely with developers, product managers, designers, and clinical content experts. Key Responsibilities: Lead QA strategy: Own the end-to-end quality strategy for EPOWERdoc, defining test plans, risk-based coverage goals, and quality gates for every release. Architect the QA tech stack: Evaluate, select, and document the tooling for UI, API, performance, accessibility, and security testing, recording each decision and its trade-offs in architecture decision records. Build automation and expand coverage: Design and maintain scalable test frameworks for web applications, APIs, and integrations. Set standards clear enough that engineers and AI agents can extend them reliably. Use these frameworks to replace manual regression with automated coverage of critical clinical workflows such as triage, documentation, orders, and discharge. Performance and reliability: Build load, stress, and soak tests that model real emergency department peak volumes, establish performance baselines, and catch regressions before they reach production. Own CI/CD quality: Integrate automated tests into CI/CD pipelines so every pull request and build is validated quickly. Use parallel execution and AI-assisted test impact analysis to keep feedback loops short as the suite grows. Defect management: Work with engineering teams to identify, document, prioritise, and resolve defects early in the development lifecycle, and drive root-cause analysis. Exploratory testing: Lead exploratory testing of new features and complex clinical user flows, combining human judgement with AI-driven exploration where automation alone adds less value. Agile partnership: Bring a quality perspective to sprint planning, refinement, and retrospectives, including estimates, acceptance criteria, and release readiness. Quality advocacy: Champion a quality-first culture from code reviews to release management. Report on quality metrics and trends such as escaped defects, flakiness, and test cycle time. Security and compliance: Ensure testing practices, test data, and the use of AI tools meet HIPAA and healthcare data security standards, with no real PHI in test environments or AI prompts. AI-NATIVE QUALITY ENGINEERING AI is part of how this team works every day. In this role you will: AI-assisted test design: Use LLMs to turn user stories, acceptance criteria, and clinical specifications into test scenarios, edge cases, and boundary conditions, then review and sharpen them with sound test-design judgement. Agentic test authoring: Use AI coding agents and Playwright’s MCP server and test agents (planner, generator, and healer) to create and maintain automated tests. Hold generated code to the same review and quality bar as production code. Self-healing and…
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