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Azure Jobs in Manitoba (NOW HIRING)

Integrate Business Central with external systems and Microsoft technologies including Power Platform, Azure services, and Microsoft 365. \n * Build and maintain REST APIs, web services, and data ...

Networking (firewalls, routers, switches, VPNs, Wi-Fi) * Cloud solutions (Azure, AWS, Microsoft 365) * Cybersecurity practices within an MSP environment * Project implementation and client-facing ...

Data Modeler

Winnipeg, MB · On-site +1

CA$90K - CA$114K/yr

Assists in designing, developing, publishing, and maintaining the Azure data platform semantic layer and maps its data lineage back through the various data propagation zones of the data platform and ...

Data Architect

Winnipeg, MB · On-site +1

CA$109K - CA$145K/yr

Data Architecture * Partners with Data Office members and IT stakeholders to design and instantiate physical and semantic data models on the Azure data platform. * Defines ...

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What is an Azure?

An Azure job typically refers to a role focused on Microsoft's cloud computing platform, Azure. Professionals in this field manage cloud infrastructure, develop applications, implement security, and optimize performance. Common job titles include Azure Administrator, Azure Developer, and Azure Solutions Architect. These roles require expertise in cloud services, networking, security, and automation. Certification, such as Microsoft Certified: Azure Fundamentals or Azure Solutions Architect Expert, can enhance job prospects.

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To thrive in an Azure role, you need a solid background in cloud computing principles, familiarity with Microsoft Azure services, and experience with infrastructure management or application development in a cloud environment. Commonly, Azure roles require experience with tools such as Azure Portal, Azure CLI, PowerShell, ARM templates, as well as certifications like Microsoft Certified: Azure Administrator Associate or Azure Solutions Architect. Strong problem-solving, communication, and collaboration skills help you work effectively in multidisciplinary teams and resolve technical challenges. These competencies are crucial for ensuring secure, scalable, and reliable cloud solutions tailored to organizational needs.

What are some typical challenges faced by professionals working in Azure roles, and how can they be managed?

Professionals in Azure roles often face challenges such as keeping up with rapid technological advancements, ensuring cloud security, managing costs, and optimizing resource performance. Staying current through continuous learning, earning relevant Azure certifications, and participating in online communities can help professionals stay ahead. Collaborating closely with cross-functional teams—including DevOps, security, and development colleagues—is essential for successful project delivery and quickly resolving issues. Being proactive about monitoring usage and utilizing Azure’s cost management tools can help manage cloud spend effectively, making you a valuable asset to your organization.

What are jobs in Azure?

Jobs in Azure refer to roles that involve managing, developing, or supporting cloud services using Microsoft Azure platform. These positions often require skills in cloud computing, scripting, and familiarity with Azure tools and certifications. Common roles include Azure administrator, developer, solutions architect, and security engineer.

What jobs can I get with Azure?

Jobs related to Azure include Azure Administrator, Azure Developer, Cloud Solutions Architect, and Azure Data Engineer. These roles typically require knowledge of cloud infrastructure, scripting, and familiarity with Azure services and certifications such as Microsoft Certified: Azure Fundamentals or Azure Solutions Architect Expert.

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For Azure jobs in Manitoba, the most frequently searched job titles are:

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The top searched job categories for Azure jobs in Manitoba are:

Infographic showing various Azure job openings in Manitoba as of September 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 73% Physical, 7% Hybrid, and 20% Remote job distribution.

Senior Cloud and AI Administrator

Winnipeg, MB • On-site

Full-time

Re-posted 4 days ago


Job description

POSITION GOAL: 

The Senior Cloud & AI Administrator is responsible for building, implementing, and operating enterprise cloud and AI platforms across the organization. This role directly delivers Azure-based infrastructure, Microsoft 365 services, and enterprise AI solutions (including Copilot and custom AI capabilities), ensuring they are secure, scalable, and effectively utilized.

The position actively executes across infrastructure, security, and data/AI domains to drive modernization, automation, and business outcomes through hands-on delivery and continuous optimization.

 ESSENTIAL FUNCTIONS: 

Design and Strategy (Execution-Focused):

Build and maintain enterprise platforms across:

  • Microsoft Azure (IaaS, PaaS, AI services)
  • Microsoft 365 and collaboration tools
  • Enterprise AI ecosystem (Copilot, Azure OpenAI, AI development platforms)
  • Implement cloud-first and AI-enabled solutions aligned to business needs
  • Execute modernization initiatives (e.g., serverless deployments, infrastructure consolidation, automation)

Enterprise AI & Copilot Implementation & Operations:

Configure, deploy, and maintain:

  • Microsoft Copilot capabilities
  • AI agents (Copilot Studio, Power Platform)
  • AI-assisted development tools (e.g., GitHub Copilot)
  • Enforce governance, privacy, and data protection controls within AI solutions

Manage and operate:

  • AI tool inventory and lifecycle
  • Monitoring, usage analytics, and cost tracking
  • Access controls, environment separation (Dev/Test/Prod), and publishing processes

·    Implement and maintain controls with Security and Compliance teams for:

  • Responsible AI usage
  • Audit logging, monitoring, and investigation readiness
  • Identify and remediate risks related to unsanctioned AI usage while driving adoption of approved tools

Cloud Platform & Infrastructure Delivery:

  • Build, configure, and operate Azure environments, including:
  • Networking and hybrid connectivity
  • Identity and access (Entra ID, Conditional Access)
  • Compute, storage, and data services
  • Execute cloud migrations and workload placements
  • Continuously optimize cost, performance, and platform reliability
  • Develop and maintain automation (infrastructure as code, patching, deployment pipelines)

Cybersecurity & Governance Execution:

Implement and enforce governance controls across cloud and AI platforms, including:

  • ·Cost management and practices
  • Access and configuration baselines
  • Logging, monitoring, and incident response integration
  • Execute threat modeling inputs and support risk assessments with cybersecurity teams
ADDITIONAL RESPONSIBILITIES:

Comply with all occupational safety and health rules and regulations approved by the local Country, State and Province, NFI Group management, the safety committee and Union partners

Comply with all Environmental Management Systems certification and Occupational Safety and Health certification achieved by NFI Group

Other duties as assigned.

Requirements

Education:

  • Bachelor’s degree in Computer Science, Information Systems, related field, or comparable industry experience
  • Certifications (Preferred)
  • Microsoft Certified: Azure Solutions Architect Expert
  • Microsoft Certified: Azure AI Engineer Associate
  • Microsoft Certified: Security, Compliance, and Identity
  • TOGAF or enterprise architecture certification (nice to have)
Experience/Knowledge
  • 8–12+ years in IT infrastructure/cloud roles
  • 3–5+ years in architecture-focused positions
  • Experience in enterprise-scale cloud and AI environments

Strong expertise in:

  • Microsoft Azure (compute, networking, AI services, automation)
  • Microsoft 365 ecosystem (Teams, SharePoint, Copilot)
  • Identity and access management (Entra ID)

Solid understanding of:

  • Enterprise AI platforms and governance models
  • Data security, privacy, and compliance frameworks
  • Hybrid infrastructure and networking

Familiarity with:

  • AI/ML concepts and enterprise AI deployment patterns
  • DevOps / GitHub Enterprise and CI/CD pipelines (preferred)