Lead Quality Engineer

What is the opportunity? 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, including Cloud platforms, Python, SQL Server, Snowflake, and ETL pipelines.

What will you do? Leadership & Strategy

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

Hands-On Technical Execution

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

Collaboration & Innovation

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

What do you need to succeed? Must Have

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 Have

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

What's in it for you?

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

Job Skills: Application Testing, Decision Making, Detail‑Oriented, Group Problem Solving, IT Quality Assurance, Long Term Planning, Predictive Analytics, Programming Languages, Software Product Testing, Test Automation.

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