Quality Engineer III

TD•Toronto, ON

1d•CA$96,900 - CA$136,800•Onsite

About The Position

TD is seeking a Quality Engineer III to join their Technology Solutions team in Toronto, Ontario, Canada. This role focuses on defining and executing test automation strategies, developing automation frameworks, and leading quality assurance initiatives within the Finance and Risk portfolios. The position involves driving shift-left testing, continuous testing, and leveraging AI for intelligent testing solutions. The Quality Engineer III will also be responsible for governance, stakeholder management, and team leadership to enhance QE productivity and efficiency.

Requirements

BS degree in Computer Science or related Engineering discipline; or equivalent practical experience
Strong academic background (e.g., software engineering, computer science)
5-7 years of relevant experience

Responsibilities

Define and execute the test automation strategy across Finance and Risk portfolios.
Establish automation standards, frameworks, and best practices aligned with enterprise QE objectives.
Drive shift-left testing and continuous testing adoption across Agile and DevOps teams.
Create automation roadmaps to improve quality, speed, and cost efficiency.
Design, develop, and maintain scalable automation frameworks for API Testing, UI Testing, ETL/Data Validation Testing, Regression Testing, and Batch and Mainframe Testing.
Ensure frameworks are reusable, maintainable, and integrated with CI/CD pipelines.
Lead automation initiatives for Regulatory Reporting, Financial Reporting, Risk Management Systems, Basel and Capital Reporting, Credit Risk, Market Risk, and Liquidity Risk Platforms.
Validate complex financial calculations, data transformations, and reporting controls.
Develop automated validation solutions for large-scale data warehouses and risk data platforms.
Automate reconciliation between source systems, staging layers, and reporting platforms.
Ensure data lineage, completeness, accuracy, and integrity across Finance and Risk applications.
Integrate automation suites into CI/CD pipelines.
Enable automated test execution within build and deployment processes.
Establish quality gates and release readiness criteria.
Monitor automation execution results and quality metrics.
Drive adoption of AI-enabled testing solutions.
Implement self-healing automation capabilities and intelligent test generation.
Leverage predictive analytics to identify risk-prone areas and optimize test coverage.
Explore GenAI opportunities to improve QE productivity and efficiency.
Define KPIs and quality dashboards for automation effectiveness.
Track automation coverage, defect leakage, execution efficiency, and release quality.
Ensure compliance with enterprise risk, audit, and regulatory standards.
Participate in quality governance forums and architecture reviews.
Partner with Business, Technology, Product Owners, and Program Leadership.
Collaborate with Architecture teams to influence quality-by-design practices.
Manage vendor teams and ensure delivery aligns with quality objectives.
Provide executive-level updates on automation progress and risk mitigation.
Mentor QE Leads, Automation Engineers, and SDETs.
Build automation capabilities across multiple delivery pods.
Conduct framework reviews, code reviews, and technical coaching.
Drive a culture of continuous improvement, innovation, and engineering excellence.
Identify opportunities to reduce manual testing effort through automation.
Improve test execution efficiency and release cycle times.
Standardize testing processes across Finance and Risk programs.
Promote engineering practices that enhance scalability, reliability, and operational resilience.