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Quality Engineer (AI & Test Automation) - Canada

Primary stack

AgilePythonAICI/CDAPI TestingJava

Nice to have's

JIRAPostmanRest AssuredJMeterGatlingcloud platformscontainerization

Job description

About the Position

Job Title: 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.

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.

Requirements

  • 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.

We Offer

  • Competitive base salary of $65,000 per year.
  • Discretionary annual performance-based bonus.
  • Comprehensive benefits supporting physical, mental, and financial wellbeing.
  • Hybrid work model with 3 days a week in Mississauga or Toronto, ON.

About the Company

Cognizant (NASDAQ: CTSH) is an AI Builder and a digital services company delivering end-to-end AI solutions that maximize investments for real results. Its deep expertise in business, process, and technology enables it to embed the unique context of each organization’s technology systems from engineering to production at scale. Its goal: to improve team effectiveness, create value, and enable leading companies to thrive in a rapidly changing world. For more information: cognizant.ai or @cognizant.

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.
  • Applications will be accepted until July 17th, 2026.

© Cognizant Technology Solutions. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Cognizant (Nasdaq-100: CTSH) is one of the world’s leading professional services companies, transforming clients’ business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the US, Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital atwww.cognizant.comor follow us @Cognizant.

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