Technical QE Lead/Manager at RBC Global Asset Management

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agile Methodology, AI Programming, Application Testing, Automated Testing, Automation, DevOps, End-to-End Testing, Generative AI, Leadership, Quality Engineering, Software Quality Assurance, Test Automation, Programming Languages, Predictive Analytics, Decision Making, Detail-Oriented

Industry

Description

Job Description What is the opportunity? As a Technical QE Lead/Manager, you will be responsible for leading a portfolio of applications/projects and automation strategy across complex applications, implementing Gen AI–driven testing solutions, and integrating AI tools into CI/CD pipelines. You will also mentor QA teams and champion best practices in AI-enabled testing and metrics-driven quality engineering. We are seeking an experienced, talented and forward-thinking member to join our team. The role is ideal for a Senior professional enthusiastic for advocating and driving innovation through AI change to transform the traditional QA practices. This is a strategic and hands-on role offering the opportunity to work on cutting-edge AI technologies, contribute to enterprise-level transformation initiatives, and shape the future of intelligent quality engineering What will you do? Accountable to work with project teams to define test strategies across project lifecycle, utilizing QE processes and tools on projects of small to medium size and of low to medium complexity. Manage the projects and maintenance releases from start to end and implement QE best practices or processes related to planning, estimation, execution, and reporting. Partner with the team to implement and drive adoption of AI–driven testing solutions and integrate tools into the CI/CD pipelines to improve test coverage, quality and achieve optimization. Collaborate with business, operations and technology teams and participates in all phases of the project life cycles (requirements, design, development, testing) to align on test strategy to improve code quality. Responsible for providing guidance and mentorship to QE practitioners on automation best practices, AI enabled testing methodologies Understand the strategic imperatives of the organization and our department and identify opportunities to further those objectives as part of project work. Remain abreast with emerging technologies to drive test innovation and adopt best practices. Leads and coordinate project resources and work, removing roadblocks, monitoring project performance and managing issues and risks. What do you need to succeed? Must Have: Excellent communicator – able to work closely with partners in cross functional teams with an ability to lead and mentor QE team members. 10+ years of QE experience developing and implementing projects/programs test strategies and plans and managing the end-to-end process in Agile and Non-Agile projects Must have a University/College graduate in computer science or engineering with extensive working experience and understanding of the SDLC process. Passionately embraces and leveraged AI technologies with a desire to challenge the status quo in a constructive. Hands on expertise in a variety of test automation frameworks/tools – Robot Framework, TestNG, Junit, SoapUI, Selenium, Rest Assure, Jenkins, Maven) and script development using scripting languages (Python, Bash), web services and API testing – REST API and SOAP Experience with CI/CD pipeline and DevOps tools like GitHub, Jenkins, Helios Proven ability to combine AI-based tools into CI/CD workflows to improve testing efficiencies, quality and timelines 3+ experience implementing AI solutions to support test coverage activities, accelerate test creation, Nice to have Code inspection tool knowledge (SonarQube) Experience with Containerizations tools like OpenShift, Dockers, AWS ECS Experience using test optimization and performance monitoring tools – Dynatrace Work Model -- Onsite #LI-POST #TECHPJ #LI-AS Job Skills Agile Methodology, Agile Methodology, AI Programming, AI Prompting, Application Testing, Automated Testing, Automation, Automation Frameworks, Decision Making, Detail-Oriented, DevOps, End-to-End Testing, Generative AI, Group Problem Solving, IT Quality Assurance, JIRA Tool, Leadership, Long Term Planning, Predictive Analytics, Programming Languages, Quality Engineering, Software Engineering, Software Product Testing, Software Quality Assurance (SQA) Testing, Test Automation {+ 2 more} Additional Job Details Address: 180 WELLINGTON ST W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2025-09-03 Application Deadline: 2025-12-16 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Inclusion and Equal Opportunity Employment At 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.

Responsibilities

Lead a portfolio of applications/projects and automation strategy across complex applications, implementing AI-driven testing solutions. Mentor QA teams and champion best practices in AI-enabled testing and metrics-driven quality engineering.