Platform Engineer at TD

Compensation

CA$96,900 – CA$136,800/yr

Location: Toronto, Ontario
Type: Full-time

Description

TD is seeking an experienced Platform Engineer to join their multi-cloud Platform Engineering team. This role involves designing and owning end-to-end cloud AI/ML services using Infrastructure as Code (IaC), automating testing frameworks, and creating self-service tooling. The engineer will focus on Terraform module design, GitHub Actions pipelines, and security modeling for cloud services, contributing to a secure, scalable, and efficient platform.

Required Skills

Terraform
Python
GitHub Actions
CI/CD
RBAC/IAM
Active Directory
PingFederate
PKI
Key Vault / Secret Manager
policy-as-code
Azure OpenAI
Azure AI Foundry
Azure AI Search
Azure Bot Service
Azure ML
Google Vertex AI

Additional Information

Required Previous Experiences: 5+ years of cloud platform or infrastructure engineering experience
deep IaC delivery on at least one of Azure or Google Cloud.
Preferred Qualifications: 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) including reusable workflows, environments, OIDC-based cloud auth, deployment gating, and secret management.
Demonstrable experience deploying and operating AI/ML services on Azure (Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Bot Service, Azure ML) and/or Google Cloud (Vertex AI, BigQuery, Pub/Sub).
Hands-on understanding of cloud networking at depth: VNets/VPCs, NSGs/firewall rules, hub-spoke and shared VPC patterns, private endpoints, ExpressRoute, DNS, and routing across hybrid topologies.
Strong security engineering instincts: RBAC/IAM design, identity federation (Azure AD/Entra, Google Cloud Identity, AD, PingFederate), Key Vault / Secret Manager, PKI and certificate lifecycle, data protection, and policy-as-code.