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.
