Job Description
Job Summary
Job Description
What's the opportunity?
Are you interested in the opportunity to work as a Senior Platform Engineer on the Cloud Data and ML platform engineering team at RBC Borealis? Our team is looking for experienced ML Platform Engineers with experience in full stack development to contribute to our platform services, API, and enablement of Azure services for our customers.
RBC Borealis Cloud Data and ML platform engineering team is responsible for enabling Public Cloud for our internal data engineering and data scientists at RBC. We work with 100s of developers and data scientists across RBC to leverage Azure to accelerate their work across the full end to end data and machine learning lifecycle. This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.
At RBC Borealis, 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. You can find out more about our research areas at rbcborealis.com.
Your responsibilities include:
Performing complex application programming activities, including coding, testing, debugging, documenting, maintaining, and modifying complex applications programs
Create and review technical design documents, understand how the design will be used in the code development process, and facilitate meetings to design, troubleshoot, and execute projects
Develop APIs and microservices to support Enterprise Machine Learning Platform client initiatives
Present technical topics at regular sprint meetings and manage low-level planning of work packages
Designing, building, and optimizing machine learning deployment tools and automation systems that operate the business’s data and ML applications
Designing and implementing best practices and standards for data and machine learning pipelines across the organization
Supporting applications and projects with infrastructure design decision, and monitoring solution
Building a highly scalable, resilient cloud platform for hosting machine learning systems using state-of-the-art technologies
You're our ideal candidate if you have:
3+ years of experience working as a software engineer using frontend frameworks such as VueJS/React and backend languages such as Python or Golang
Strong platform engineering experience and experience implementing scalable distributed systems
Working with building and maintaining DevOps pipeline such as Jenkins, GitHub actions
Experience with MLOps orchestration tools such as AirFlow, KubeFlow, Dagster, Flyte, or MetaFlow
Experience implementing monitoring solutions to identify system bottlenecks and production issues
Hands-on experience building and deploying hybrid environments on-prem and major cloud environments, such as AWS and Azure
Strong experience implementing Infrastructure as Code in Terraform, Cloudformation, or Azure Resource Manager (ARM) Templates
Experience working with Databricks, especially Azure Databricks
Data engineering knowledge is helpful but not required for the role
What's in it for you?
Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact from a local-to-global scale
About RBC Borealis
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.
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, ****** 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-Hybrid
#Ll-POST
Job Skills
Amazon Web Services (AWS), Apache Spark, Code Development, Docker (Software), Microsoft Azure, Microsoft Azure Databricks, Python (Programming Language), Unit Testing
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:
2026-05-15
Application Deadline:
Note: Applications will be accepted until 11:5+ 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.
Job Description
What's the opportunity?
Are you interested in the opportunity to work as a Senior Platform Engineer on the Cloud Data and ML platform engineering team at RBC Borealis? Our team is looking for experienced ML Platform Engineers with experience in full stack development to contribute to our platform services, API, and enablement of Azure services for our customers.
RBC Borealis Cloud Data and ML platform engineering team is responsible for enabling Public Cloud for our internal data engineering and data scientists at RBC. We work with 100s of developers and data scientists across RBC to leverage Azure to accelerate their work across the full end to end data and machine learning lifecycle. This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.
At RBC Borealis, 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. You can find out more about our research areas at rbcborealis.com.
Your responsibilities include:
Performing complex application programming activities, including coding, testing, debugging, documenting, maintaining, and modifying complex applications programs
Create and review technical design documents, understand how the design will be used in the code development process, and facilitate meetings to design, troubleshoot, and execute projects
Develop APIs and microservices to support Enterprise Machine Learning Platform client initiatives
Present technical topics at regular sprint meetings and manage low-level planning of work packages
Designing, building, and optimizing machine learning deployment tools and automation systems that operate the business’s data and ML applications
Designing and implementing best practices and standards for data and machine learning pipelines across the organization
Supporting applications and projects with infrastructure design decision, and monitoring solution
Building a highly scalable, resilient cloud platform for hosting machine learning systems using state-of-the-art technologies
You're our ideal candidate if you have:
3+ years of experience working as a software engineer using frontend frameworks such as VueJS/React and backend languages such as Python or Golang
Strong platform engineering experience and experience implementing scalable distributed systems
Working with building and maintaining DevOps pipeline such as Jenkins, GitHub actions
Experience with MLOps orchestration tools such as AirFlow, KubeFlow, Dagster, Flyte, or MetaFlow
Experience implementing monitoring solutions to identify system bottlenecks and production issues
Hands-on experience building and deploying hybrid environments on-prem and major cloud environments, such as AWS and Azure
Strong experience implementing Infrastructure as Code in Terraform, Cloudformation, or Azure Resource Manager (ARM) Templates
Experience working with Databricks, especially Azure Databricks
Data engineering knowledge is helpful but not required for the role
What's in it for you?
Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact from a local-to-global scale
About RBC Borealis
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.
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, ****** 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-Hybrid
#Ll-POST
Job Skills
Amazon Web Services (AWS), Apache Spark, Code Development, Docker (Software), Microsoft Azure, Microsoft Azure Databricks, Python (Programming Language), Unit Testing
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:
2026-05-15
Application Deadline:
Note: Applications will be accepted until 11:5+ 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.
💡 Quick Summary
Seeking a career-building opportunity? The Senior Platform Engineer, Cloud Data position is now open for candidates interested in the Bank Jobs sector. This role in Montréal offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
