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Quality Engineer (AI & Test Automation) - Canada

About Cognizant’s Quality Engineering & Assurance Team

Our Quality Engineering & Assurance team is the innovative engine at our company. We are a dedicated group of builders and problem-solvers responsible for the most critical, customer-facing platforms. Within this team, the Quality practice is not a downstream function but a fully integrated partner in development. Our mission is to embed quality into every stage of the lifecycle, and as a Quality Engineer, you will be on the front lines of this effort.

Position Overview

Are you a driven Quality Engineer passionate about building the future of testing? We are seeking a creative and hands-on QE to be a key contributor to our quality practice. This is an exciting opportunity to move beyond traditional QA and dive into the world of AI-driven testing, helping us build and maintain robust quality standards for our mission-critical intelligent applications that are redefining customer interaction.

Key Responsibilities

· Design, develop, and maintain test automation frameworks using Java and Python. Write clean, efficient, and scalable automation scripts for new features to ensure robust test coverage across all deliverables.

· Perform API testing: Understand API concepts, develop and execute functional tests, interpret Swagger YAML files, and validate endpoints using Postman or Rest Assured automation frameworks.

· Conduct database testing: Write and execute SQL queries to retrieve, update, and delete data, ensuring database integrity and reliability.

· Own quality for assigned features and components: Collaborate with product managers and developers on requirements analysis, create detailed test cases, execute comprehensive test suites (functional, integration, regression), and provide final quality sign-off.

· Track and report testing progress: Use tools such as JIRA, ADO, or ALM for defect logging and reporting, ensuring transparency of feature quality to the team and stakeholders. Also understanding of CI/CD concepts.

· Implement and execute test plans for AI/ML applications: Support QA activities and certify the quality of AI-powered systems, including hands-on testing of chatbots for intent recognition, conversational flow, response accuracy, and edge case handling.

· Leverage modern AI tools to enhance workflow: Utilize AI code assistants like GitHub Copilot to accelerate test script development and explore generative AI for tasks such as test data creation and bug report summarization.

· Ensure AI reliability and fairness: Execute test cases to identify issues related to bias, fairness, and model robustness, contributing to the overall trustworthiness of AI systems.

· Develop and maintain test automation scripts and frameworks using Java and Python.

· Have proficiency with test and defect management tools, particularly JIRA or any similar tools.

Required Skills & Qualifications

· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

· 0 – 1 years of professional experience in a Quality Assurance or Quality Engineering role.

· Some hands-on experience developing and maintaining test automation scripts and frameworks using Java and Python.

· Basic understanding of the Software Testing Life Cycle (STLC) and practical experience working in an Agile/Scrum environment.

· A keen interest in or prior experience testing AI-powered applications, such as chatbots or other AI/ML-based systems.

· Hands-on experience with the Hybrid Automation frameworks.

· Familiarity with CI/CD concepts and tools (e.g., Jenkins, GitLab, GitHub Actions).

· Exposure to performance testing tools (e.g., JMeter, Gatling).

· Basic knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker)

· A passion for learning and staying up to date with the latest trends in AI and software 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 is $65,000 per year. 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.

Location

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.

Start Date

New hires will start in June 2026 . While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively.

Additional disclosures

· 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.

Post Closing Date

Applications will be accepted until April 30 th , 2026.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.