QA Lead; Healthcare Domain

Position: QA Lead (Healthcare Domain)
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

Tri Zetto 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)

Git Hub Copilot (GHCP)

Claude / GenAI-based assistants

Drive adoption of AI-driven continuous testing models aligned with enterprise QE initiatives.

Dev Ops & CI/CD Integration

Design and manage CI/CD pipelines in Azure Dev Ops.

Integrate continuous testing within build and deployment cycles.

Enable seamless Dev Ops-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 Dev Ops (Boards, Pipelines, Repos)

CI/CD and Dev Ops integration

Domain Expertise:

Proven experience in Healthcare/Payer domain

Strong knowledge of Facets / Tri Zetto 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

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.

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.

#J-18808-Ljbffr