Guidewire Automation Test Engineer

We are seeking a skilled and experienced Guidewire Automation Test Engineer to join our dynamic Quality Engineering team. In this role, you will be responsible for designing, developing, and executing comprehensive testing strategies for enterprise Guidewire implementations (PolicyCenter, BillingCenter, and/or ClaimCenter). You will work closely with business analysts, developers, and product owners to ensure seamless functionality, high data integrity, and exceptional quality across all insurance workflows.

In this role, you will

Design, develop, and execute detailed test plans, test scenarios, and test cases specifically tailored for Guidewire insurance suites (PolicyCenter, BillingCenter, or ClaimCenter)

Perform regression, integration, functional, and end-to-end testing.Develop and maintain comprehensive test plans, test cases, and defect reports.

Automate API testing and backend validation to verify integrations between Guidewire and external systems, services, and databases.

Integrate automated test suites into CI/CD pipelines (e.g., Jenkins, GitHub Actions) to ensure continuous testing and rapid feedback loops during releases.

Collaborate with cross-functional Agile/Scrum teams to align test automation scripts with evolving user stories, acceptance criteria, and application updates\

Manage test execution metrics, debug automation script failures, and drive defect resolution using tools like JIRA or Azure DevOps.

Required Skills

6 to 10 years of professional software testing experience, with a strong, dedicated focus on Guidewire implementation and testing.

Hands-on functional testing experience with one or more core Guidewire modules: PolicyCenter, BillingCenter, or ClaimCenter.

Strong hands-on experience building and maintaining test automation frameworks using modern languages and tools (e.g., Java, Python, Selenium, Playwright, or specialized automated testing tools).

Working knowledge of the Guidewire suite PolicyCenter (PC), ClaimCenter (CC), and BillingCenter (BC),

Experience with CI/CD tools such as Jenkins, Azure DevOps, or GitLab.

Knowledge of Agile methodologies and defect management tools (JIRA, ALM).

Preferred Skills

Good to have understanding of overall insurance business and systems architecture, including how policy, claims and billing.

Good understanding of SQL and database 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 are 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 70,000 – 90,000 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. 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.