We are seeking a highly accomplished Quality Engineering Lead with proven expertise across functional testing, automation, AI-driven testing, and team leadership. This role is pivotal in driving end-to-end quality strategy, execution excellence, and innovation across complex healthcare programs. The ideal candidate will ensure high-quality, scalable, and compliant deliverables aligned with client expectations, while championing modern QE practices, GenAI adoption, and continuous testing frameworks.
In this role, you will
- Lead end-to-end Quality Engineering strategy, planning, and execution across multiple releases.
- Drive test strategy, test planning, and execution to ensure minimal defect leakage and high production stability.
- Oversee validation across functional, integration, and end-to-end business workflows.
- Manage requirement traceability, defect lifecycle, and risk mitigation.
- Ensure compliance with quality standards, SLAs, and delivery timelines.
- Lead and manage an offshore QE team (up to 10 members).
Test Design & Execution
- Analyse business and system requirements (BRD/FRD) and translate them into:
- Detailed test scenarios and test cases
- Comprehensive test data strategies
- Enable shift-left testing and early defect detection.
Healthcare Domain Expertise
- Perform validation across healthcare platforms, including:
- Facets
- TriZetto ecosystem (including AI Gateway and integrations)
- Ensure deep domain alignment across:
- Claims, Membership, Provider, and Eligibility workflows
- Leverage domain understanding to improve test coverage and accuracy.
Automation & Engineering Excellence
- Design, develop, and scale automation frameworks using Selenium.
- Drive automation-first approach with strong focus on:
- Regression optimisation
- Reusability and maintainability
- Lead web services/API testing and automation, ensuring integration reliability.
AI & Modern QE Practices
- Leverage AI-powered tools to accelerate testing and productivity, including:
- ROVO AI (agent-driven testing and orchestration)
- GitHub Copilot (GHCP)
- Claude / GenAI-based assistants
- Drive adoption of AI-driven continuous testing models aligned with enterprise QE initiatives
DevOps & CI/CD Integration
- Design and manage CI/CD pipelines in Azure DevOps.
- Integrate continuous testing within build and deployment cycles.
- Enable seamless DevOps-QE alignment for faster release cycles.
Team Leadership & Stakeholder Management
- Provide:
- Task allocation and tracking
- Delivery oversight and review
- Mentoring and performance guidance
- Collaborate with onshore stakeholders, architects, and business teams.
- Act as the primary QE point of contact for client interactions.
Required skills
Core Skills
- Strong experience in:
- Functional Testing & Test Management
- Automation using Selenium (Java preferred)
- API/Web Services Testing
- Hands-on expertise in:
- Azure DevOps (Boards, Pipelines, Repos)
- CI/CD and DevOps integration
Domain Expertise
- Proven experience in Healthcare/Payer domain
- Strong knowledge of:
- Facets / TriZetto platforms
- E2E healthcare workflows (Claims, Enrollment, Providers)
AI & Innovation
- Experience leveraging AI tools (e.g., GH Copilot, GenAI tools) for:
- Test design
- Code generation
- Productivity acceleration
Leadership
- Experience managing distributed/onshore-offshore teams
- Strong skills in:
- Stakeholder communication
- Team mentoring
- Risk and dependency management
Preferred skills
- Experience with AI-driven QE frameworks / continuous testing platforms
- Knowledge of performance, security, or cloud testing
- Certifications in:
- Agile/Scrum
- QE / Testing
We're eager to meet people who share our mission and can make an impact in various ways. Don't hesitate to apply, even if you only meet the required skills listed. Your transferable skills and experiences matter—help us see how you the right person for this role.
Total compensation:
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between CAD 80,000 – 110,000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
Working arrangements
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Toronto, province. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
Applications for this position are reviewed by our recruitment team without the use of artificial intelligence screening tools.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
