Job DescriptionWhat is the opportunity?As a Sr. Manager of DevOps/QE, you will oversee the activities of DevOps/QE automation teams and members, developing, implementing, and maintaining a system of Quality Engineering at RBC Insurance Technology (RBCI IT). We are looking for a leader who is people-driven, client-focused, and a change agent to support the overall DevOps/QE automation strategy and transformations within RBCI IT. This role will also leverage AI and AI-driven SDLC practices to enhance efficiency, innovation, and quality in our processes.
What will you do?- Responsible for managing test teams and aligning to RBC Quality Engineering practices, incorporating AI-driven SDLC methodologies.
- Responsible for integration of team members into Squads/Programs/Projects, assuring engagement at the start of the initiative.
- Responsible for managing resources and vendor coordination, driving alignment with RBC practices and efficient usage.
- Effectively communicate and build rapport with team members and other stakeholders from Business, IT, vendors, etc.
- Execute Performance Management processes, including ensuring development plans & performance reviews are in place.
- Ensures team has adequate training, consulting, and tools to deliver objectives, including AI and automation tools.
- Supports senior management in the development of workforce skill sets to meet transformation needs and achieve strategic goals.
- Accountable for maximizing automation for all project functional testing deliverables in the portfolio, leveraging AI-driven solutions.
What do you need to succeed?Must-have- 10+ years of Quality Assurance/Quality Engineering experience, with 3 to 5 years of people management experience.
- Minimum 5 years of experience developing and implementing program/project end-to-end testing strategies and plans and managing the end-to-end process.
- Experience with DevOps, CI/CD/CV pipeline automation, and AI-driven SDLC practices.
- Experience leading all facets of testing, including test optimization and automation, with a focus on AI-driven solutions.
- Strong knowledge of methodologies, frameworks, and best practices (Agile, Kanban, Scrum, etc.).
- Very good communication skills. Ability to focus, prioritize, and solve complex problems.
Nice-to-have- Experience with Insurance industry data/systems.
- Experience in vendor management.
- Knowledge of data management and IFRS (International Financial Reporting Standards).
- Bachelor's degree in computer science, Computer Engineering, or related (technical) degree/diploma.
What is in 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
- A world-class training program in financial services
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Opportunities to building close relationships with clients
- Access to a variety of job opportunities across business and geographies
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Job SkillsAI Agents, AI Concepts, AI Frameworks, Artificial Intelligence Software, Artificial Intelligence Techniques, Generative AI, Information Technology (IT) Infrastructure, Programming Languages, Responsible AI, Software Change Request Management, Software Development Life Cycle (SDLC), Software Engineering, Software Integration Engineering, Software Product Design, Software Product Technical Knowledge, Software Release Management, System Testing Tools
Additional Job DetailsAddress:MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA
City:Mississauga
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:TECHNOLOGY AND OPERATIONS
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-08-21
Application Deadline:2026-09-17
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
