Staff ML Platform Developer

RBC • Calgary, AB

19d • Onsite

About The Position

The RBC Borealis ML platform engineering team is seeking an experienced ML Platform Engineer with full stack development expertise to contribute to their platform services. This team is responsible for enabling on-premises infrastructure for internal data engineering and data science teams at RBC, supporting hundreds of developers and data scientists in leveraging these resources across the full end-to-end data and machine learning lifecycle. This role offers a unique opportunity to grow in machine learning infrastructure, working with a passionate team dedicated to bringing ML to the enterprise. The position involves designing, developing, and maintaining platform services, APIs, and tools to facilitate seamless machine learning workflows and lifecycle management. As part of the Enterprise Architecture team, the role will also involve strategically planning and managing the successful implementation of complex enterprise-wide initiatives to improve technology management and architectural governance, coordinating, developing, leading, communicating, and executing activities to ensure objectives are met on time.

Requirements

• Bachelor’s degree in computer science, software engineering, or equivalent
• 2+ years’ experience as a software developer/software engineer and proficient in at least one major programming language, as well as strong knowledge of object-oriented design and data structures
• Strong working knowledge of SQL and NoSQL Datastores
• Experience in building APIs and RESTful services
• Experience in mentoring junior engineers, leading code review and design sessions
• Passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency and helping others
• Strong communication skills with ability to work cross-functionally to articulate, measure and solve issues
• Great attention to detail, organizational skills and an analytical mind
• Strong platform engineering experience and experience implementing scalable distributed systems
• Experience implementing monitoring solutions to identify system bottlenecks and production issues

Nice To Haves

• Working with building and maintaining DevOps pipeline, such as GitHub actions
• Previous experience with MLOps orchestration tools such as AirFlow, KubeFlow, Dagster.
• Data engineering knowledge is helpful but not required for the role

Responsibilities

• 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
• Designing, building, and optimizing machine learning deployment tools and automation systems that operate the business’s data and ML applications
• Supporting applications and projects with infrastructure design decision, and monitoring solution

Benefits

• 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
• Flexible work/life balance options
• Opportunities to do challenging work

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees