Job Title

Job Description What is the opportunity? Our team is looking for an experienced ML Platform Engineer with expertise in full stack development to contribute to our platform services. RBC Borealis ML platform engineering team is responsible for enabling onpremises infrastructure for our internal data engineering and data science teams at RBC. We work with hundreds of developers and data scientists across RBC to leverage our onpremises resources to accelerate their work across the full endtoend data and machinelearning 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, youll be joining a team that works on building and enhancing onpremises solutions to support data engineering and data science teams across the organization. The role involves designing, developing, and maintaining platform services, APIs, and tools to enable seamless machine learning workflows and lifecycle management. The Enterprise Architecture team is undertaking multiple complex enterprisewide initiatives as part of RBCs ongoing plan to improve technology management and architectural governance across the organization. In this role you will be responsible for strategically planning and managing successful implementation of the above mentioned. The role will coordinate, develop, lead, communicate and execute activities to ensure objectives are accomplished based on time. What will you do? Perform 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. Design, build, and optimize machine learning deployment tools and automation systems that operate the businesss data and ML applications. Support applications and projects with infrastructure design decisions, and monitoring solutions. What do you need to succeed? Bachelors degree in computer science, software engineering, or equivalent. 3+ years experience as a software developer/software engineer and proficiency in at least one major programming language, as well as strong knowledge of objectoriented design and data structures. Strong working knowledge of SQL and NoSQL datastores. Experience in building APIs and RESTful services. Experience mentoring junior engineers, leading code review and design sessions. Passion for simplifying and automating work, making things better, continuous learning, solving openended problems, improving efficiency and helping others. Strong communication skills with ability to work crossfunctionally 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. Nicetohave 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. Whats in it for you? 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 highperforming team. A worldclass training program in financial services. Flexible work/life balance options. Opportunities to do challenging work. Job Skills Analytical Thinking, Apache Airflow, Application Development, Application Integrations, Application Maintenance, Applications Architecture, Applications Programming, Code Development, Code Reviews, Data Engineering, Data Oriented, Debugging, Distributed Systems, Enterprise Application Delivery, GitHub, Jupyter Notebooks, Kubernetes, Problem Solving, Python (Programming Language), Red Hat OpenShift, Software Development Life Cycle (SDLC), System Applications, Technical Design Documentation, Technical Designs Additional Job Details Address: 335 8 AVE SW:CALGARY City: Calgary Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-01-21 Application Deadline: 2026-02-28 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 intheknow 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 wellbeing 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. #J-18808-Ljbffr