Job DescriptionWhat is the opportunity?We are seeking a Senior QA Automation & AI Lead to establish and scale a high-performing, AI-driven quality assurance function across the TES Data Services portfolio. This is a hands-on leadership role for someone who can build a QA team from the ground up, anchoring quality practices across 8-10 applications while leveraging AI agents and automation to maximize coverage with a lean team structure.
The successful candidate will demonstrate quick wins through AI-powered testing approaches, then scale those methods into a full automation regression suite spanning the entire portfolio. This role demands a self-driven leader who stays ahead of emerging AI trends, translates them into practical QA capabilities, and coaches their team to operate with an AI-first mindset in everything they do.
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?Must-have:- 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
Nice-to-have:- 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
What's in it for you?- 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 SkillsAgentic 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
Additional Job DetailsAddress: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:2026-07-29
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
