Principal Quality Assurance Engineer

Questrade Financial Group•Toronto, ON

2d•CA$114,000 - CA$142,000•Hybrid

About The Position

Questrade Financial Group (QFG), through its companies - Questrade, Questbank, Questrade Wealth Management, Community Trust Company, Zolo, and Flexiti, provides securities and foreign currency investment, professionally managed investment portfolios, mortgages, real estate services, financial services and more. We use cutting-edge technology to help Canadians become much more financially successful and secure. At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services. The ideal candidate will be a catalyst for change, using AI to transform and deliver unparalleled customer experiences and shaping a future where AI empowers our teams to do their best work. Join our diverse, inclusive, and hybrid workplace to unleash your creativity and nurture your curiosity without limits. If you share this sense of infinite possibility, come shape your future at QFG.

Requirements

Diverse Quality assurance Engineering and Quality leadership experience (7+ years).
Proven experience designing and implementing AI-powered testing strategies or a deep understanding of AI testing tools (e.g., for test generation, self-healing tests, visual validation).
Expertise in one or more of the following: Cypress/Playwright, BrowserStack, Appium, Appetizer, Detox, WebdriverIO, C#, NodeJS, Javascript, Typescript, Docker, Kubernetes, SQL, gRPC, Event Brokers.
Mastery in architecting and writing scalable, maintainable, and efficient test automation frameworks.
Experience with building, testing, and deploying Docker images and a deep understanding of CI/CD concepts for microservices.
Proven success leading quality initiatives in cross-functional agile teams.
Experience with SQL Databases (e.g., MSSQL/MySQL) and NoSQL Databases (e.g., Firestore, MongoDB).
Expertise with Git, JIRA, Confluence, Coda..
Extensive experience with major cloud providers - GCP, AWS, Azure.
Deep understanding of Event-driven, streaming architectures, CQRS, etc.

Nice To Haves

Experience in the Finance industry is "nice to have," but a growth mindset and curiosity to learn complex financial workflows is required.

Responsibilities

Architect and implement a strategy for leveraging AI in the QA process, including AI-driven test generation, visual regression, anomaly detection in test results, and predictive quality analytics.
Continuously evaluate and improve our testing processes, exploring new technologies such as Contract Testing (Pact) and Shift-Left strategies.
Lead the automation and optimization of our testing feedback loops, ensuring rapid and reliable signals within CI/CD pipelines.
Govern the use of AI tools within the QA process, ensuring consistent application, reliability, and efficiency gains across all engineering teams.
Mentor and guide QA and software engineers, fostering a culture of quality ownership and collaboration.
Effectively communicate quality metrics, risks, and technical concepts to both technical and non-technical audiences.
Provide leadership with feedback on the QA ecosystem and pioneer the adoption of new AI-powered solutions to enhance quality and efficiency.
Collaborate with technology teams to design resilient and testable software and AI systems from the ground up.
Pursue and champion continuous learning across the organization regarding AI in testing, emerging technologies, and modern design patterns.
Work closely with application developers to define holistic test strategies for new intelligent applications.
Infuse DevOps practices with AI capabilities, improving the CI/CD pipeline with intelligent test selection, self-healing scripts, and faster feedback loops.
Perform code reviews for both application and test automation code, ensuring best practices for quality and maintainability.
Track and support the prioritization of technical debt in regards to test automation and infrastructure.
Collaborate with solution architects, engineers and product owners to ensure quality is a key consideration throughout the entire development lifecycle.