Azure AI/ML Platform Engineer II

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About the role

  • Platform Engineer enabling scalable Azure and Google Cloud AI/ML capabilities. Owning end-to-end delivery of Infrastructure as Code for cloud AI services in a hybrid work environment.

Responsibilities

  • Own end-to-end delivery of Infrastructure as Code for cloud AI services
  • Design platform abstractions that let application teams self-serve safely
  • Lead architectural conversations across Azure and Google Cloud
  • Embed security and compliance into the platform
  • Build patterns for safe consumption of generative AI
  • Lead code review and set standards for IaC quality
  • Partner with security, network, risk, and architecture organizations

Requirements

  • 5+ years of cloud platform or infrastructure engineering experience
  • Expert-level Terraform - module design, composition, workspaces, testing, drift management, and pipeline patterns
  • Strong Python for platform work: SDK integrations, CLI/tooling, automated testing, packaging, observability hooks
  • Experience with GitHub Actions (or comparable CI/CD)
  • Demonstrable experience deploying and operating AI/ML services on Azure or Google Cloud
  • Hands-on understanding of cloud networking at depth
  • Strong security engineering instincts.

Benefits

  • health and well-being benefits
  • savings and retirement programs
  • paid time off
  • banking benefits and discounts
  • career development
  • reward and recognition programs

Job type

Full Time

Experience level

Mid levelSenior

Salary

CA$96,900 - CA$136,800 per year

Degree requirement

Bachelor's Degree

Tech skills

AzureCloudPythonTerraform

Location requirements

HybridTorontoCanada

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