Lead QA/Test Automation Engineer

RBCToronto, ON
Onsite

About The Position

We are seeking a highly skilled Lead QA/Test Automation Engineer with expertise in automation testing and AI-driven quality solutions to lead innovation in our Core and Realtime Payments QE team. This role will spearhead the design and implementation of advanced automation frameworks, drive proof-of-concept (POC) initiatives, and integrate AI/ML technologies to elevate test coverage, efficiency, and delivery speed. The ideal candidate will collaborate with cross-functional teams to embed quality engineering practices within our DevOps pipeline while mentoring onshore and offshore team members.

Requirements

  • Expertise in programming languages: Python, Java, or C#.
  • Proven experience designing and implementing custom automation frameworks.
  • Deep knowledge of automation tools (Selenium, Appium, Playwright, Cypress) and CI/CD pipelines.
  • Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and integrating AI into test automation.
  • Strong understanding of cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and RESTful API testing.
  • Analytical mindset with proficiency in data analytics and reporting tools (e.g., Tableau, Power BI).

Nice To Haves

  • Experience with NLP, computer vision, or generative AI applied to testing.
  • Contributions to open-source automation/AI projects.
  • Advanced degree in Computer Science, Engineering, or a related field.

Responsibilities

  • Architect, develop, and maintain scalable automation frameworks for web, mobile, and API testing (e.g., Selenium, Appium, Playwright, Cypress).
  • Lead POCs to evaluate and implement AI-driven solutions, including intelligent test case generation, defect prediction, and test optimization.
  • Ensure seamless integration of automation into DevOps pipelines using tools like Jenkins, GitHub Actions, or Azure DevOps.
  • Develop custom utilities, libraries, and plugins to enhance automation capabilities and efficiency.
  • Conduct code/test reviews, enforce best practices, and mentor teams on advanced automation and AI/ML concepts.
  • Analyze test results, identify trends, and provide actionable recommendations using data analytics and visualization tools.
  • Partner with development, QA, and DevOps teams to align on quality goals and improve processes.

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
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services
  • Flexible work/life balance options
  • Opportunities to take on progressively greater accountabilities
  • Access to a variety of job opportunities across business and geographies
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