Cloud ML Platform Engineer

RBC • Toronto, ON

9d • Onsite

About The Position

At RBC Borealis, you'll lead the delivery of AI and ML solutions within a fast-paced, collaborative environment, working closely with engineering, product management, ML researchers, cloud teams, and advisory groups. In this role, you'll drive cross-functional execution, align stakeholders, and ensure successful delivery of initiatives that create measurable value for RBC clients. Our mission is to think big, go beyond what's possible today, and unlock the full potential for RBC - and you'll play a key role in making that happen. The Lumina AI/ML team is leading the development of a next-generation platform that enables teams across RBC to build innovative solutions. Our mission is to empower customers to create transformative AI and ML capabilities using data securely housed in our compliant data platform, unlocking new and differentiated experiences for their customers while accelerating RBC’s AI-driven digital transformation. The Cloud ML Platform engineer is responsible to design and maintain scalable data and ML platform infrastructure, covering self-serve provisioning, security, resiliency and cost optimization. As an engineer, you will also define engineering best practices, enforce data governance, and collaborate with cross-functional teams to deliver reliable, production-ready platform capabilities.

Requirements

• 4+ years building data pipelines and managing infrastructure as code (Terraform, Pulumi) with strong Python skills for production-quality platform tooling and APIs.
• Working knowledge of Databricks and cloud platforms (AWS and/or Azure)
• Understanding of data and ML governance concepts — lineage, cataloging, and access control — and how to apply them at platform scale.
• Understanding of ML/AI workflows and engineering delivery lifecycles
• Familiarity with infrastructure concepts, CI/CD, monitoring, and operational support models
• Excellent communication and stakeholder management skills
• Ability to translate business requirements into actionable technical deliverables
• Strong organizational skills with the ability to manage multiple priorities
• Experience with compliance and governance frameworks in a regulated environment

Nice To Haves

• Experience building dashboards and reporting solutions (e.g., Grafana, Power BI)
• Experience with infrastructure chargeback and cost management
• Background in SRE or platform engineering support models

Responsibilities

• Design and build scalable REST/gRPC APIs with OpenAPI contracts and versioning
• Implement auth patterns (OAuth2, RBAC) and API gateway configuration (Kong, AWS API Gateway)
• Apply resilience patterns: rate limiting, retries, circuit breakers
• Build production-grade Airflow DAGs with dynamic templating, custom operators, and SLA monitoring
• Design idempotent, reusable pipeline frameworks for data and ML workflows
• Administer Databricks on AWS: Unity Catalog, cluster/job management, multi-tenant RBAC, and security
• Provision and manage AWS infrastructure (EC2, S3, IAM, VPC) via Terraform/CDK with cost governance
• Build CI/CD pipelines, enforce code quality tooling, and author golden-path templates
• Set up observability (Datadog, CloudWatch) and containerized deployments (Docker, EKS)
• Implement data cataloging, lineage, and quality frameworks at scale
• Manage ML lifecycle (MLflow) and enforce compliance/access control standards
• Translate business and science requirements into platform capabilities via RFCs and ADRs
• Drive adoption of platform standards and gather iterative feedback across federated teams

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: Mid Level
• Education Level: No Education Listed