Quality Engineer (AI & Test Automation) - Canada

Summary

Cognizant is seeking a Quality Engineer to join its Quality Engineering & Assurance team. The role focuses on building and maintaining test automation frameworks, performing API and database testing, and owning quality for assigned features. The engineer will also test AI/ML applications, assess AI reliability and fairness, and use modern AI tools to improve testing workflows.

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

Skills

• 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
• Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in **Mississauga or Toronto, ON**
• 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

Qualifications

Must Haves

• 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
• Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in **Mississauga or Toronto, ON**
• 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

Benefits

• This position is also eligible for Cognizant’s discretionary annual performance-based bonus.
• Benefits that support your physical, mental and financial wellbeing.
• Hybrid position requiring 3 days a week in a client or Cognizant office in Mississauga or Toronto, ON.
• Various wellbeing programs.