Lead Full Stack Developer

Job Description What is the opportunity? The RBC Borealis Lumina Platform team is hiring a Lead Full Stack Developer who will bring focus and subject-matter expertise around designing and implementing APIs and UIs for the AWS and Azure Data & AI platforms to enable a seamless user experience and automation. This is a unique opportunity to lead a team of developers, mentor junior engineers, and drive technical excellence in the world of machine learning infrastructure while working with a team of passionate individuals committed to the mission of bringing ML to enterprise. At AI Group, you'll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. What will you do? Lead the development of full-stack APIs and UIs using modern frameworks and technologies Lead the development of backend services and APIs using Python, FastAPI and Flask Collaborate with platform engineers to integrate applications with MLOps infrastructure and guide technical decisions Participate in code reviews and drive improvement of code quality and best practices Support application CI/CD pipelines using GitHub actions, deploying to Kubernetes Setup application monitoring and alerting through Grafana Work with internal clients and stakeholders on new feature enablement What do you need to succeed? Must have Strong proficiency in JavaScript/TypeScript and one backend language (Python, Java, or Node.js) Strong experience building web applications with modern frameworks (React, Vue, Angular, or similar) Strong understanding of REST APIs and web application architecture Strong understanding of devops tooling including Git, Docker and GitHub actions Good knowledge of databases, SQL and ORMs Nice-to-have: Experience with cloud platforms (AWS, Azure, GCP) Understanding of CI/CD pipelines and automated testing Experience with machine learning concepts or MLOps tools Knowledge of responsive design and UX principles What's in it for you: Become part of a collaborative team that invests in your professional growth Work on impactful projects within a leading-edge AI organization Competitive compensation and comprehensive Total Rewards Program including bonuses, flexible benefits, and stock options where applicable Supportive leaders committed to your development and career advancement Opportunity to make a meaningful impact at a local-to-global scale Access to cutting-edge technologies and learning opportunities About the AI Group: RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery ensuring RBC remains at the frontier of AI-enabled value creation. Inclusion and Equal Opportunity Employment RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request. #LI-Post #TechPJ Job Skills Application Development, Application Integrations, Application Maintenance, Applications Architecture, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC), System Applications Additional Job Details Address: RBC WATERPARK PLACE, 88 QUEENS QUAY 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: 2026-08-06 Application Deadline: 2026-08-31 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.

Lead the development of full-stack APIs and UIs while mentoring junior engineers to drive technical excellence in machine learning infrastructure. Collaborate with platform engineers to integrate applications with MLOps and manage CI/CD pipelines for deployment to Kubernetes.

Requires strong proficiency in JavaScript/TypeScript and a backend language like Python, along with experience in modern web frameworks and REST API architecture. Candidates should have a solid understanding of DevOps tooling, databases, and cloud platforms.

• Competitive compensation • Total Rewards Program • Bonuses • Flexible benefits • Stock options

• KubernetesSouhaitée
• SQLSouhaitée
• API RESTSouhaitée
• AngularSouhaitée
• Vue.jsSouhaitée
• DockerSouhaitée
• ReactSouhaitée
• JavaScriptSouhaitée
• TypeScriptSouhaitée
• GitSouhaitée
• PythonSouhaitée
• FlaskSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• JavaScript
• TypeScript
• Python
• FastAPI
• Flask
• React
• Vue
• Angular
• REST APIs
• Git
• Docker
• GitHub Actions
• Kubernetes
• SQL
• MLOps
• Cloud platforms
• Agentic AI
• Full Stack Development
• Responsible AI
• Workplace Inclusivity
• Pipelines
• Flask (Web Framework)
• MLOps (Machine Learning Operations)
• CI/CD
• Git (Version Control System)
• Edge Intelligence
• Programming Languages
• Java (Programming Language)
• JavaScript (Programming Language)
• Research
• Application Programming Interface (API)
• Artificial Intelligence
• Amazon Web Services
• Angular (Web Framework)
• Applications Architecture
• Application Development
• Computer Vision
• Automation
• Test Automation
• Microsoft Azure
• Code Review
• Software Development Life Cycle
• DevOps
• Github
• Innovation
• Problem Solving
• Python (Programming Language)
• Machine Learning
• Node.js (Javascript Library)
• Operations

• Technology
• Software
• Data & Analytics
• Management & Leadership
• Engineering
• Full Stack Developer
• Web and Multimedia Developers
• Software Developers

Expérience minimale

5+ ans

Postuler avant le

31 août 2026

Langue de l’offre

anglais

Heures de travail

38 heures par semaine