Platform Engineering Manager

Location: Remote - Canada 

About this role

Like WCG, you believe in the power of work. In this role, the Platform Engineering Manager leads the design and operation of WCG’s cloud platform as a product, enabling secure, scalable, and efficient delivery of digital services. You will drive the shift to a modern platform engineering model focused on automation, self-service capabilities, and developer experience, with primary ownership of Azure-based cloud infrastructure (with AWS exposure), IaC, DevOps/DevSecOps, identity and access management, and system integrations, ensuring integrations are scalable and reusable. Partnering closely with Security, Architecture, and Development teams, you will embed security by design, drive the adoption of AI-enabled platform capabilities to enhance engineering productivity, operational insights, and accelerate innovation across the organization.

What you'll do

• Define, build, and operate the internal platform as a product, with clear users (developers, IT teams) and measurable outcomes
• Develop and execute a platform roadmap, service catalog, and self-service capabilities (e.g., environment provisioning, templates, pipelines) including reusable components and standardized patterns
• Continuously improve developer experience (DevEx) by reducing friction and increasing autonomy
• Architect and manage cloud environments in Azure and AWS, including high availability, disaster recovery, and resilience strategies
• Lead adoption of Infrastructure as Code (IaC) (Terraform, Bicep, ARM)
• Define scalable, secure, and cost-effective infrastructure patterns
• Partner closely with Security teams to embed security into CI/CD pipelines and platform services
• Implement automated security controls (SAST, DAST, dependency scanning, secrets management) and ensure compliance with regulatory and organizational requirements
• Enforce policy-as-code, least privilege access, zero-trust principles, and oversee identity and access management (including lifecycle, federation, and RBAC)
• Leverage AI/ML for operational insights, anomaly detection, cost optimization, incident response, and engineering productivity
• Establish and govern scalable, secure, and reusable integration patterns across systems (APIs, messaging, event-driven architecture)
• Drive maturity of CI/CD pipelines and release automation
• Enable fully automated provisioning and deployment workflows and reduce manual effort through automation
• Implement observability practices (monitoring, logging, tracing, alerting) and support reliability targets (SLOs/SLAs, incident response, continuous improvement
• Contribute to platform governance, standards, and alignment across security, architecture, and development teams