RBC Borealis is seeking a Senior Platform Engineer to join their Cloud Data and ML platform engineering team. This role is part of Canada's largest financial institution and offers an exciting opportunity to work at the intersection of cloud computing and machine learning infrastructure.
The position involves working with a team responsible for enabling Public Cloud solutions for internal data engineering and data scientists at RBC. You'll be collaborating with hundreds of developers and data scientists across RBC to leverage Azure and accelerate their work throughout the data and machine learning lifecycle. This represents a unique opportunity to grow in the field of machine learning infrastructure while working alongside passionate professionals dedicated to bringing ML to enterprise.
As a Senior Platform Engineer, you'll be responsible for complex application programming, developing APIs and microservices, and designing scalable solutions for machine learning deployments. The role requires expertise in both frontend and backend development, with a strong focus on cloud platforms and DevOps practices. You'll work with cutting-edge technologies and have access to rich datasets and computational resources to support development in areas such as reinforcement learning and computer vision.
The ideal candidate brings 3+ years of software engineering experience, strong platform engineering background, and expertise in cloud technologies. You'll need proficiency in frontend frameworks like React, backend languages such as Python or Golang, and experience with cloud platforms including AWS and Azure. Knowledge of MLOps tools and Infrastructure as Code is essential.
RBC Borealis offers a comprehensive benefits package including competitive compensation, bonuses, flexible benefits, and stock options where applicable. You'll join a progressive team that values collaboration and professional development, with opportunities to make a lasting impact from local to global scale. The company maintains a strong commitment to diversity and inclusion, welcoming qualified applicants from all backgrounds.