Senior QA Automation & AI Lead

Job Description

What is the opportunity? The Trading & Execution Services (TES) Data Services team within Capital Markets Technology has elevated data to first‑class citizen status, providing strategic solutions for the capture, retention, analysis, and reporting of all transactional data spanning the Capital Markets cross‑asset front‑office trading lifecycle.

Our team is responsible for ingesting and managing cross‑asset trading data on our cloud data lake. We consolidate data from internal RBC trading systems and external Independent Software Vendors (ISVs) to deliver high‑quality, standardized data products that power front‑office decision‑making across all asset classes. We are building a world‑class data organization that leverages artificial intelligence and modern cloud‑native architectures to transform how capital markets professionals access and consume data.

What will you do?

• Define and implement an AI‑first QA strategy that leverages AI agents for unit test generation, test case creation from specification documents, and automated regression testing
• Identify, evaluate, and adopt emerging AI tools and techniques that accelerate test coverage and reduce manual effort
• Deliver quick wins by applying AI‑driven testing to high‑impact areas of the portfolio, demonstrating measurable improvements in coverage and efficiency
• Design, build, and maintain a scalable QA automation framework that supports full regression testing across 8‑10 applications in the TES Data Services portfolio
• Establish testing standards, patterns, and reusable components that enable consistent quality practices across all applications
• Integrate automation frameworks with CI/CD pipelines to enable continuous testing and rapid feedback loops
• Ensure framework extensibility to accommodate new applications and evolving data architectures
• Anchor QA practices across the entire TES Data Services portfolio, ensuring consistent quality standards for data ingestion, transformation, modeling, and reporting applications
• Collaborate with development teams to shift testing left, embedding quality gates earlier in the delivery lifecycle
• Build and manage a lean team of QA automation engineers operating with an AI‑first approach to all testing activities
• Coach and mentor team members on AI tool adoption, automation best practices, and capital markets domain knowledge

What do you need to succeed?

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field
• 8‑10 years of solid hands‑on experience in software testing, QA automation, and quality engineering roles
• 4+ years working in capital markets environments with exposure to trading systems, market data, or financial data platforms
• Demonstrated experience building QA automation frameworks from scratch and scaling them across multiple applications
• People management experience with a track record of building and developing QA teams
• Expert proficiency in test automation frameworks and tools (e.g., Selenium, Playwright, pytest, TestNG, or equivalent)
• Strong programming skills in Python, Java, or both, with the ability to write production‑quality test code
• Hands‑on experience with CI/CD integration for automated testing (Jenkins, Azure DevOps, GitHub Actions, or equivalent)
• Experience testing data‑intensive applications including ETL pipelines, data lakes, and cloud‑native data platforms
• Proficiency with API testing, database validation, and data quality assertion frameworks
• Working knowledge of Microsoft Azure services and Databricks environments
• Demonstrated experience using AI tools for test generation, test case creation, or test automation acceleration
• Familiarity with AI agents, large language models, and their practical application to software testing workflows
• Understanding of capital markets trading workflows, trade lifecycle, and market data structures

• Experience building or deploying AI agents for autonomous testing workflows
• Prior use of generative AI tools (e.g., Copilot, ChatGPT, or similar) for code generation, test script creation, or specification analysis
• Experience with performance testing and load testing for data‑intensive applications
• Familiarity with contract testing and schema validation for data pipelines
• Previous experience at a major investment bank or capital markets technology firm

Benefits

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock 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
• Flexible work/life balance options
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Access to a variety of job opportunities across business and geographies

Job Skills

Agentic AI, Agentic Platforms, Application Testing, Artificial Intelligence Technologies, Decision Making, Detail‑Oriented, Group Problem Solving, IT Quality Assurance, Long Term Planning, Predictive Analytics, Programming Languages, Software Product Testing, Test Automation

Job Details

Address: 90 WESTERN PKY:BEDFORD

City: Bedford

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: CAPITAL MARKETS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2026-06-26

Application Deadline: 2026-07-10