Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

WELLSTAR is seeking a senior, hands-on Quality Engineering Lead to modernize testing, release confidence, and quality within an AI-assisted engineering environment for their EMR teams. This role will define the evolution of quality engineering, automation, AI-assisted test generation, and risk-based release practices to maintain reliability, privacy, and patient safety amidst increasing software change.

Responsibilities

• Co-own quality with Engineering and Product, focusing on QA strategy, cross-team quality practice alignment, test approach, release readiness evidence, and the effective use of AI and automation.
• Define regression, smoke, spot, and end-to-end testing approaches.
• Guide maintainable QA automation direction.
• Develop AI-assisted test generation from requirements and acceptance criteria.
• Implement AI-enabled improvements to manual-style QA processes.
• Provide release-readiness evidence from a QA perspective.
• Establish consistent cross-team quality standards and practices.
• Influence QA contributors, engineers, product managers, and engineering leaders through credibility, clarity, and practical guidance.
• Align QA practices across EMR groups, defining practical quality standards for requirements, acceptance criteria, test coverage, regression risk, and release readiness.
• Develop and operationalize AI-assisted approaches for generating test cases from requirements and acceptance criteria.
• Explore how AI can support QA through scenario discovery, edge-case identification, exploratory testing prompts, and regression-risk analysis.
• Use AI and modern quality practices to continuously identify and close testing coverage gaps.
• Evaluate existing automation and determine where to extend, improve, replace, or rebuild based on long-term maintainability and effectiveness.
• Guide automated smoke, spot, regression, end-to-end, API, UI, and workflow testing strategies across critical EMR capabilities.
• Help define what “safe to release” means from a QA perspective and what evidence teams should have before release.
• Improve release-readiness practices for critical clinical workflows.
• Run proofs of concept and tooling evaluations to determine how AI, automation, and modern testing practices can meaningfully improve quality practices.
• Communicate quality risks clearly to engineering, product, and leadership.
• Champion a culture where quality is shared across QA, Engineering, and Product.
• Support healthcare interoperability testing involving HL7, FHIR, APIs, and healthcare data exchange workflows.
• Validate critical clinical workflows, including patient records, scheduling, billing, and integrations, meet correctness and reliability standards.
• Partner with engineering to support better unit and integration testing practices.
• Support Engineering on unit and integration testing standards and in shaping CI/CD quality expectations.

Requirements

• A strong technical or development background is a significant asset.
• Deep understanding of development workflows is necessary to collaborate credibly with engineers, grasp implementation tradeoffs, and guide practical automation decisions.
• Experience helping teams modernize or align quality practices across multiple products, platforms, or engineering groups.

Skills

• Quality engineering strategy across regression, smoke, spot, end-to-end, API, UI, workflow testing, release readiness, risk-based testing, test coverage, and test data management.
• Test automation experience with tools such as Robot Framework, Playwright, Cypress, Selenium, or similar.
• API and integration testing experience with tools such as Postman/Newman, REST Assured, or similar.
• Technical fluency with test frameworks such as JUnit, TestNG, or comparable frameworks, and programming or scripting languages such as Java, C#, Kotlin, TypeScript, JavaScript, Python, or similar.
• Experience with, or strong curiosity about, AI-enabled QA tools for test generation, test maintenance, requirements analysis, coverage analysis, defect detection, and regression planning.
• Exposure to healthcare interoperability standards and workflows such as HL7, FHIR, healthcare APIs, provincial health integrations, or healthcare data exchange.
• Experience in EMRs, EHRs, digital health, clinical systems, Canadian healthcare, primary care workflows, or other regulated, privacy-sensitive, safety-critical software environments.
• Curiosity and a desire to experiment and learn.
• Pragmatism to separate hype from value and build practical, maintainable approaches.
• Influential communication skills to guide teams through credibility and clarity.
• Technical understanding to collaborate with engineers as a peer.
• Adaptability and comfort with ambiguity.
• Clear communication of quality risks, tradeoffs, and recommendations to both technical and non-technical audiences.
• Fluency with AI tools and a curiosity-driven approach to leveraging them for quality engineering.

Location

• Toronto, ON

Work Type

• Full Time
• Remote
• Hybrid

Experience Level

• Senior

Salary/Compensations

• $125,000 - $155,000

About the Company

• WELLSTAR is a leading healthcare technology and provider-solutions organization focused on empowering healthcare practitioners, clinics, and health systems through innovative software, digital health, and operational solutions.
• WELLSTAR brings together a growing ecosystem of healthcare products and services, including Electronic Medical Records, patient engagement tools, revenue cycle management, billing and back-office solutions, healthcare IT services, and emerging AI-enabled capabilities.
• Through its portfolio of trusted healthcare technology brands, WELLSTAR supports thousands of providers and clinics across Canada and plays an important role in improving the way care is delivered, managed, and experienced.
• WELLSTAR’s mission is to help healthcare organizations operate more efficiently, improve provider and patient experiences, and scale technology-enabled solutions that support better health outcomes.
• The organization combines deep healthcare expertise with a collaborative, entrepreneurial approach to building practical solutions for the evolving needs of Canadian healthcare.
• WELLSTAR Clinical Platform Group is responsible for the development and support of the EMR platforms such as OSCAR and Cerebrum, which are leading Electronic Medical Record (EMR) software's in Canada that supports thousands of providers and millions of Canadian patients across the country.
• The team is primarily located in the greater Toronto area and the greater Vancouver area.
• WELL is committed to fostering a diverse, inclusive, and accessible workplace.
• WELL has been independently certified as a Great Place to Work® by the Great Place to Work Institute® Canada.
• Read more about us: https://stories.well.company/

Equal Opportunity

• WELL is committed to fostering a diverse, inclusive, and accessible workplace. We welcome and celebrate the diversity of applicants and team members across ability, race, gender identity, sexual orientation, and lived experience. We strive to create an environment where differences are valued and contribute to our collective success – this is the WELL Way.