Lead Quality Engineer
RBC•Toronto, ON
•Onsite
About The Position
The RBC Team is hiring for a Lead Quality Engineer role within the HR & CLAO IT/CRE Team. As a Lead Quality Engineer, you will be a technical leader and hands-on contributor responsible for driving quality excellence across complex applications and data platforms. You will lead quality engineering initiatives while remaining deeply involved in the technical execution of testing strategies across our technology stack, which spans Cloud platforms, Python, SQL Server, Snowflake, and ETL pipelines. In this role, you will provide technical leadership, mentor team members, and establish best practices for quality engineering and automation. You will be responsible for architecting scalable test frameworks, defining testing strategies, and ensuring the delivery of high-quality solutions for cross-functional, multi-platform application systems. This position requires a balance of strategic thinking and hands-on technical expertise.
Requirements
- 8+ years of experience in QA/QE with progressive responsibility and demonstrated leadership capabilities
- 3+ years of proven experience leading, mentoring, or managing quality engineering teams
- Expert-level proficiency in Python for test automation, ETL testing, and data validation scripting; hands-on knowledge of ETL processes, data pipelines, and data validation strategies (SSIS experience highly valued)
- Advanced SQL Server skills including complex queries, stored procedures, query optimization, and database testing
- Proven experience designing and implementing scalable test automation architectures for enterprise applications
- Strong understanding of RESTful API testing, microservices testing, and backend service validation
- Extensive experience with CI/CD and DevOps practices using GitHub, GitHub Actions, Helios, UCD, or similar tools
- Expert knowledge of QE processes, Testing Life Cycle, SDLC, and Agile methodologies
- Strong understanding of test management tools (qTest, JIRA, Confluence, Azure DevOps)
- Excellent leadership, communication, and interpersonal skills with ability to influence and drive change
- Proven problem-solving abilities with strategic thinking and innovative approach to complex testing challenges
Nice To Haves
- Previous banking or financial services experience
- Snowflake testing and administration experience
- Experience with JCL and mainframe testing
- Knowledge of data warehousing concepts and dimensional modeling
- Experience with performance and load testing tools (JMeter, LoadRunner, or similar)
- Familiarity with AI/ML testing approaches
- Certifications in quality engineering or relevant technologies (ISTQB, AWS, Azure, etc.)
- Experience with containerization and orchestration technologies (Docker, Kubernetes)
- Knowledge of security testing and compliance requirements
Responsibilities
- Mentor a team of Quality Engineers, providing technical guidance and coaching
- Define and drive the overall QE strategy, testing standards, and best practices for the CRE portfolio; Participate in capacity planning, resource allocation, and sprint planning activities
- Collaborate with development leads, product owners, and architects to establish quality gates and acceptance criteria
- Lead the evaluation, adoption, and implementation of AI/ML technologies in testing
- Drive adoption of new testing tools, frameworks, and methodologies to improve team efficiency
- Design, develop, and maintain enterprise-grade automation test frameworks for Web, Backend, API services, and ETL pipelines (Robot Framework, Python-based frameworks integrated with qTest and Helios pipeline)
- Architect and implement CI/CD pipelines with comprehensive test automation integration using Helios pipeline and GitHub Actions
- Write complex SQL queries and stored procedures for test data validation, data setup, and ETL testing across MS SQL Server and Snowflake environments
- Perform hands-on automation development for critical and complex test scenarios
- Lead technical troubleshooting of complex defects and testing blockers
- Validate data quality, integrity, and accuracy across multiple data sources and platforms
- Develop automated data validation frameworks for large-scale data movement and transformation processes
- Leverage AI-powered tools such as GitHub Copilot and Helios Assist to accelerate automation development and enhance team productivity
- Partner with cross-functional teams including developers, business analysts, and DevOps engineers from project initiation through delivery
- Document and track defects using JIRA and Confluence, ensuring effective communication and timely resolution with stakeholders
- Execute and oversee automated test execution, analyze results, and provide quality metrics and insights to leadership
- Build strong relationships with business partners and stakeholders through effective communication and stakeholder management
Benefits
- A comprehensive Total Rewards Program including bonuses and flexible benefits
- competitive compensation where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- A world-class training program in financial services
- Opportunities to do challenging work and solve complex problems
- Opportunities to take on progressively greater accountabilities and leadership roles
- Access to a variety of job opportunities across business and geographies
- Professional development and continuous learning opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
