Platform Engineering Manager

We believe in the power of work. Since 1994, we’ve been partnering with governments and local agencies across Canada to create sustainable employment opportunities for people, businesses and communities. We understand that work gives hope, strengthens relationships and drives economic growth.

Job Description 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 reusableintegration 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

Qualifications What you bring

Capabilities and experience:

Platform product mindset (treating internal platforms as products)

Deep cloud and infrastructure expertise

DevSecOps and security-first thinking

Integration and API architecture knowledge

AI/automation awareness and practical application

Leadership and team development

Systems thinking and scalability focus

Strong communication and stakeholder engagement

Bachelor’s degree or higher in Computer Science, Engineering, or related field

Seven (7) + years in cloud infrastructure, DevOps, or platform engineering

Three (3) + years in leadership roles

Strong experience with Microsoft Azure; working knowledge of AWS

Hands-on experience with Infrastructure as Code (Terraform, Bicep, ARM)

Experience implementing DevSecOps practices and secure pipelines

Experience designing and managing integrations and APIs

Familiarity with AI tools and their application in engineering workflows

Experience with observability, monitoring, reliability engineering, and incident management practices

Strong understanding of identity and access management, including lifecycle and access control models

Experience working in Agile/DevOps environments

Preferred Criteria:

Azure Solutions Architect Expert / DevOps Engineer Expert

AWS Certifications

Certified Kubernetes Administrator (CKA) or similar

Experience implementing platform engineering / internal developer platforms

Experience with AI/ML platforms or MLOps concepts

Experience with FinOps practices and cloud cost governance

Experience in