We are looking for a Senior QE Engineer to join our QEA team in a permanent role. You will be responsible for developing and maintaining automated test scripts using Playwright. You'll embed within cross-functional teams to shape testing strategy, build robust automation frameworks, and leverage AI-powered tools to accelerate delivery quality.
In this role, you will
- Design and maintain end-to-end UI test frameworks using Playwright with JavaScript/TypeScript.
- Build and validate RESTful API test suites using Cucumber JS, HTTP requests, and tools like Postman or SoapUI.
- Replicate UI flows on the REST layer using a Python-based framework to validate backend functionality.
- Actively use GitHub Copilot and Devin to generate, optimize, and review automation scripts — accelerating coverage and reducing manual effort.
- Author and maintain Devin Playbooks tailored specifically for Test Automation Developers and QE Engineers — covering script generation, framework scaffolding, test data setup, and common automation patterns.
- Optimize and validate Devin-generated output — reviewing AI-produced scripts for correctness, maintainability, and alignment with team standards before integration.
- Integrate and execute regression suites via Selenium Grid and Jenkins CI/CD pipelines.
- Contribute to backlog grooming, sprint planning, and test strategy aligned with acceptance criteria.
- Track defects, collaborate closely with developers on fixes, and drive quality throughout the SDLC.
- Mentor junior automation engineers on both traditional and AI-augmented QE workflows.
Required skills
- Overall 7-10 years of QA automation experience.
- Must have 3+ years in test automation with deep expertise in Playwright (JS/TypeScript).
- Proficiency in JavaScript, TypeScript, and Python; strong in Node.js-based automation pipelines.
- Hands-on experience with GitHub Copilot and Devin for AI-assisted automation script development.
- Demonstrated ability to create Devin Playbooks tailored for QE and test automation use cases — enabling repeatable, scalable AI-driven workflows across the team.
- Skilled in evaluating and refining Devin output — ensuring generated code meets quality, coverage, and maintainability standards.
- Proven ability to build frameworks from scratch using BDD (Cucumber) and TDD approaches.
- Solid grasp of CI/CD (Jenkins), Git, and collaborative dev workflows.
- Working knowledge of SQL/NoSQL for data validation and backend testing.
- Experienced in Agile/Scrum, JIRA, and cross-functional collaboration.
Preferred skills
Experience with Insurance domain.
Experience with test frameworks such as JUnit, TestNG, Mocha, Jest, or PyTest.
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 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, ON. 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.
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000+ associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
About us:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge 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, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
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.
Disclaimer:
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.