Opens an external site
- Employment type
- Full-time
- Experience level
- Lead · 10+ years
- Minimum education
- Bachelor’s degree
- Posting language
- English
- Working hours
- 38 hours per week
Job summary
The Senior Manager will oversee DevOps and Quality Engineering automation teams while implementing AI-driven SDLC practices to enhance process efficiency. They are responsible for managing resources, vendor coordination, and ensuring team alignment with organizational quality standards.
Job details
Job Description What is the opportunity? As a Senior 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? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. 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 Access to a variety of job opportunities across business and geographies #LI-ASPOST #TECHPJ Job Skills AI 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 Details Address: 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: 2026-09-24 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
What you’ll do
The Senior Manager will oversee DevOps and Quality Engineering automation teams while implementing AI-driven SDLC practices to enhance process efficiency. They are responsible for managing resources, vendor coordination, and ensuring team alignment with organizational quality standards.
Requirements
Candidates must have over 10 years of experience in Quality Assurance or Engineering, including at least 3 to 5 years in people management. Proficiency in DevOps, CI/CD pipelines, and AI-driven testing strategies is required, along with a relevant bachelor's degree.
Benefits
- Bonuses
- Flexible benefits
- Competitive compensation
- Commissions
- Stock options
- Coaching and development opportunities
- Training program
Listed skills
- Problem solving · Preferred
- Scrum · Preferred
- Communication · Preferred
- Agile · Preferred
- Kanban · Preferred
- data management · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- DevOps
- Quality Engineering
- Automation
- AI-driven SDLC
- People management
- CI/CD/CV pipeline
- Test optimization
- Agile
- Kanban
- Scrum
- Vendor management
- Performance management
- Strategic planning
- Communication
- Problem solving
- Data management
- Rapport Building
- Responsible AI
- Workplace Inclusivity
- Engineering Practices
- Insurance Industry
- Generative Artificial Intelligence
- CI/CD
- People Management
- Complex Problem Solving
- IT Infrastructure
- Programming Languages
- AI Agents
- Agile Methodology
- Artificial Intelligence
- Management
- Change Requests
- Customer Service
- Computer Science
- Computer Engineering
- Information Technology
- Consulting
- Data Management
- Software Development Life Cycle
- Performance Management
- Financial Services
- Functional Testing
- Geography
- International Financial Reporting Standards
- Innovation
- Project Management Software
- Operations
- Performance Review
- Scrum (Software Development)
- Systems Development Life Cycle
Job areas
- Technology
- Management & Leadership
- Software
- Finance & Accounting
- Engineering
- DevOps Manager
- Quality Engineering Manager
- Manufacturing Managers
- Architectural and Engineering Managers
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