Quality Engineer

Location: Hybrid, Mississauga
Language: Strong written and verbal English communication skills required

About the Opportunity

Join a forward-thinking organization at the forefront of AI innovation, where you'll play a key role in ensuring the quality, reliability, and performance of next-generation applications powered by Generative AI. As a Senior QA Automation Engineer, you'll help deliver secure, scalable solutions that support modern digital experiences in a collaborative, technology-driven environment.

What's In It for You

Be part of a collaborative team that values continuous learning, innovation, and knowledge sharing. You'll have the opportunity to work with emerging AI technologies, contribute to modern cloud-based solutions, and expand your expertise in automation, DevOps, and Generative AI while working in a culture that encourages growth and continuous improvement.

Your Responsibilities

• You'll design, build, and maintain automated test frameworks for Java Spring Boot microservices and REST APIs, including Spring AI-integrated services supporting third-party and Agentic AI applications.
• You'll execute prompt testing activities, including consistency checks, guardrail auditing, structure validation, and evaluation frameworks to assess accuracy and grounding.
• You'll develop and maintain automated regression, smoke, and API test suites that support high-quality software delivery.
• You'll integrate automated testing into Azure DevOps CI/CD pipelines to enable continuous testing throughout the development lifecycle.
• You'll collaborate closely with development and DevOps teams to identify quality risks, improve testing practices, and support reliable software releases.

Skills and Qualifications

• 5+ years of progressive experience in QA automation with enterprise applications.
• Strong experience testing Java Spring Boot APIs using REST Assured, Postman, JUnit, and/or TestNG.
• Hands-on experience with API and security testing, including OAuth 2.0 and JWT authentication.
• Proficiency in Python and working knowledge of the automation framework used by MCK.
• Exposure to Spring AI, Azure AI Foundry, and Microsoft Copilot Studio.
• Understanding of Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI evaluation concepts.
• Strong analytical, troubleshooting, and collaboration skills with the ability to thrive in Agile environments.

We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals.

All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions.

Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.

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