Quality Assurance Automation Engineer Full Time

Quality Assurance Automation Engineer

This is a full-time, hybrid role based in Toronto, ON, for a Quality Assurance (QA) Automation Engineer. The role involves ensuring the quality and reliability of web applications, APIs, services, and more through comprehensive testing practices. Responsibilities include designing and executing test cases, identifying and tracking defects, and contributing to both manual and automated testing efforts. The QA Automation Engineer will also validate system integrations, perform regression and end-to-end testing, and support release cycles with thorough pre- and post-deployment checks. Additional responsibilities include analyzing requirements, preparing test data, monitoring test results and quality metrics, and ensuring overall product stability and performance. Lastly, this role will require a mindset and the use of automation and AI to ensure a more modernized approach to the QA process. The role requires strong collaboration with cross-functional teams, including developers and product managers, to support high-quality product delivery.

 Qualifications & Skills

·     3–5 years of experience in software testing with strong automation focus

·     Hands-on experience with test automation tools (Selenium, Cypress, Playwright, or similar)

·     Strong proficiency in Python and/or JavaScript for automation scripting

·     Experience in API testing (Postman, REST Assured, or similar tools)

·     Solid understanding of test design techniques, STLC, and SDLC

·     Experience working with CI/CD pipelines (Jenkins, GitHub Actions, etc.)

·     Proficiency in SQL for database validation

·     Familiarity with version control systems (Git)

·     Strong analytical, debugging, and communication skills

·     Ability to work independently while effectively collaborating within a tea

·     Experience working in Agile/Scrum environments

·     Exposure to test reporting and quality metrics tools

·     Experience using AI-assisted tools to improve QA efficiency (test case generation, defect analysis, regression impact analysis, test data creation, documentation support, etc.)

·     Understanding of responsible AI usage, including validating AI-generated outputs, maintaining test accuracy, and applying human review before implementation

·     Curiosity and adaptability to evaluate emerging AI tools that enhance quality engineering workflows

Nice to Have

·     ISTQB Certification (Foundation Level or higher)

·     Experience with integration and end-to-end test automation

·     Exposure to performance testing tools (JMeter, k6 etc.)

·     Basic understanding of security testing concepts (OWASP Top 10)

·     Experience with cloud platforms (AWS, Azure, or GCP)

• ·     Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)