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Hybrid Cloud & Infrastructure Platform Consultant Financial Dr

Job in Mississauga, Ontario, Canada
Listing for: Maple Leaf Foods Inc.
Full Time position
Listed on 2026-10-07
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Azure, IT Infrastructure, Systems Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 150000 CAD Yearly CAD 100000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Hybrid Cloud & Infrastructure Platform Consultant Financial Dr., ON 10/5/2026
The Opportunity:

We are looking for a hands-on consultant who can build, automate, operate, troubleshoot, and improve hybrid cloud infrastructure. This role sits within Infrastructure & Operations / Cloud Ops and will spend approximately 75% of its time on Azure cloud, Infrastructure as Code, Terraform, automation, and platform operations, with the remaining 25% focused on supporting and improving on‑prem Hyper‑V and VMware environments.

The right candidate is a practical senior technologist who will roll up their sleeves, work directly in the platforms and code repositories, resolve complex issues, automate repeatable work, and help the team deliver reliable outcomes from day one. Solution design remains important, but it must be grounded in hands‑on implementation, operational support, security, cost, and maintainability.

Reason for vacancy:
Existing Headcount.

What You Will Help Us Do
  • Deliver and support Azure cloud capabilities, Infrastructure as Code, Terraform, automation, and platform operations.
  • Build, configure, operate, troubleshoot, and continuously improve Azure platform services, including subscriptions, networking, identity integration, monitoring, backup, governance guardrails, and operational support patterns.
  • Develop and maintain reusable Terraform modules, deployment pipelines, environment separation, state management, code-review practices, testing, documentation, and drift‑remediation processes.
  • Automate provisioning, configuration, compliance checks, operational tasks, and remediation by using Terraform, Power Shell, Azure CLI, Git-based workflows, and related tools.
  • Provide hands‑on Level 3 support for complex Azure and hybrid platform incidents, perform root‑cause analysis, implement durable fixes, and improve runbooks and monitoring.
  • Support cloud migrations and modernization by assessing workloads, preparing landing‑zone requirements, executing or guiding migrations, validating outcomes, and resolving post‑migration issues.
  • Supporting and improve on‑premises Hyper‑V and VMware environments, including virtualization hosts, clusters, storage integration, backup, disaster recovery, capacity, lifecycle, and production resilience.
  • Create practical solution designs and implementation plans for Azure and hybrid infrastructure, ensuring designs can be deployed, operated, secured, monitored, and supported by the team.
  • Partner with Security, application, data, network, and operations teams to deliver secure and supportable platform solutions that meet business needs.
  • Challenge vendors, validate technical recommendations, and participate directly in proofs of concept, implementation, testing, handover, and issue resolution.
  • Coach Cloud Ops engineers through pairing, code reviews, troubleshooting, and knowledge transfer while remaining personally accountable for hands‑on delivery.
  • Lead workload placement and migration planning, including whether workloads should move to Azure, remain on‑premises, modernize, retire, or use a transitional pattern.
Digital Platform Enablement

This role supports digital, data, and AI initiatives from a platform foundation perspective. It does not own enterprise data strategy, analytics delivery, applications, or AI model development.

  • Design the cloud and infrastructure foundation needed for secure data collection, aggregation, storage, integration, and analytics enablement.
  • Understand enough about Microsoft data platform concepts - such as Fabric, One Lake, Data Factory, Event Hubs, storage, lakehouse patterns, networking, identity, and monitoring - to partner effectively with Digital Innovation and BI/AI teams.
  • Support infrastructure patterns for facility, edge, gateway, or vendor platform integration into approved cloud or data platforms.
  • Evaluate…
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