Lead Quality Engineer, Group Claims Technology

Overview

Join our GB-Claims Engineering team! We are transforming the health and dental benefits experience to make it simple, intuitive, and personalized—so we become a trusted health partner. As Lead Quality Engineer, you’ll play a critical role in ensuring our systems deliver on this promise by embedding quality engineering practices across our technology ecosystem.

• Lead and mature QE practices for Group Benefits Claims Technology.

• Define and maintain quality standards, critical metrics, and automated testing strategies, including data synthetics for test automation.

• Develop and maintain automated test suites for functional, integration, and end-to-end testing across five squads operating under the Scaled Agile Framework Agile Release Train model.

• Establish accountability for quality engineering within squads and build succession planning through coaching and mentoring engineers.

• Act as a conduit across Group Benefits technology teams, ensuring consistent quality across back-end services, front-end applications, and external integrations.

• Collaborate using JIRA, JIRA Xray (for test case management), Azure Dev Ops, and Git Hub for planning, execution, and reporting.

• Expertise in test automation frameworks and methodologies, including Selenium, Playwright, Robot Framework, and Bruno.

• Strong understanding of API testing, CI/CD pipelines, cloud environments, and data-driven testing strategies.

• Hands-on experience in automated testing, quality assurance metrics, and defect analysis.

• Ability to lead technical practices and influence collaboration and strengthen partnerships.

• Growth mindset with a passion for mentoring engineers and driving continuous improvement.

• AI-assisted test case generation:
  Use AI to process user stories and technical requirements to automatically create test cases and scripts.

• Synthetic data generation:
  Apply AI to produce realistic test data for better coverage.

• Defect prediction and prioritization:
  Leverage machine learning to identify high-risk areas and optimize testing efforts.

• SAFe methodology.

• Familiarity with enterprise-scale quality engineering in complex ecosystems.

• Background in Group Benefits industry or Financial Services.

We’ll empower you to learn and grow the career you want. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. As part of our global team, we’ll support you in shaping the future you want to see.

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact

Referenced Salary

Location:

Waterloo, Ontario

Working Arrangement:
Hybrid

Salary range is expected to be between $ CAD - $ CAD

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