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Cloud Architect

Job in Winnipeg, Manitoba, Canada
Listing for: iVedha Inc.
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Azure, AI Engineer (Applied/Software), Cybersecurity
Job Description & How to Apply Below
We are seeking an experienced  Azure Cloud & Automation Architect to lead the design, implementation, and automation of scalable  Azure cloud solutions . This role requires expertise in  Azure Cloud, AI-driven automation, cloud migration, Dev Ops, and security best practices . You will play a key role in optimizing cloud operations, automating workflows, and enhancing security across hybrid and multi-cloud environments.

Key Responsibilities
Cloud Architecture & Migration

Lead  end-to-end Azure cloud migration projects, ensuring seamless transitions from on-prem to cloud.

Design  multi-cloud and hybrid-cloud architectures with a focus on  security, scalability, and performance .

Implement  AI-driven cloud automation for  auto-remediation, self-healing architectures, and cloud cost optimization .

Infrastructure as Code (IaC) & Automation

Develop and automate cloud infrastructure using  Terraform, Bicep, ARM Templates, and Ansible .

Implement  CI/CD pipelines using  Azure Dev Ops, Git Hub Actions, Git Lab CI/CD, or Jenkins .

Automate provisioning, monitoring, and scaling of cloud environments using  AI-powered automation .

Security & Compliance

Implement and enforce  Azure security best practices , including  IAM, Zero Trust, and Azure Policy Management .

Manage  Azure Tenant & Active Directory (Azure AD) for secure identity access management.

Utilize  Azure Security Center, Log Analytics, and Sentinel for proactive security monitoring and compliance.

AI-Driven Cloud Optimization & Monitoring

Optimize cloud costs using  AI-based forecasting and auto-scaling strategies.

Integrate  AIOps tools (Dynatrace, Datadog, New Relic) for automated cloud observability and analytics.

Work with  Data Scientists & ML Engineers to deploy  AI/ML models in Azure environments.

Collaboration & Leadership

Work closely with cross-functional teams, including  Dev Ops, Security, AI/ML, and Cloud Engineering teams .

Mentor and guide engineering teams on  Azure best practices, automation, and AI-driven cloud solutions .

Stay updated with the latest  Azure innovations, multi-cloud trends, and automation technologies .

Required

Skills & Qualifications

10+ years of experience in  Cloud Architecture, Automation, and AI-driven solutions .

Expertise in Azure , including  Azure Cloud, Azure AI/ML, Azure Dev Ops, Azure Security, Azure Networking, and Azure AD .

Hands-on experience with  Azure Kubernetes Service (AKS), Docker, and container orchestration .

Strong knowledge of  Infrastructure as Code (IaC):
Terraform, Bicep, ARM Templates, Ansible .

Proficiency in  Python, Power Shell, Bash, or Go for automation and scripting.

Experience with  Dev Ops & CI/CD tools :
Azure Dev Ops, Git Hub Actions, Git Lab CI/CD, Jenkins.

Strong understanding of  networking, security, and IAM policies in Azure and multi-cloud environments .

Experience leading  Azure cloud migration projects , including hybrid and multi-cloud strategies.

Hands-on expertise with  AI-based automation, AIOps, and cloud observability tools .

Experience with  Azure Monitor, Log Analytics, and Sentinel for log management and security analytics.

Preferred Qualifications

Certifications :
Azure Solutions Architect Expert (Mandatory), AWS/GCP Certifications (Preferred), Kubernetes (CKA/CKAD).

Experience in  serverless computing (Azure Functions, AWS Lambda, GCP Cloud Functions).

Knowledge of  Zero Trust Architecture and cloud security automation .

Multi-cloud expertise with  AWS and Google Cloud (Preferred, but Azure is primary focus) .
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