Cloud Infrastructure Architect- Azure, AWS, Cloud Migration

Job Title: Senior Multi-Cloud Infrastructure Architect | Azure, AWS, Terraform, Cloud Migration & Azure AD

Role: Infra Cloud Architect

Work Location:
Onsite – Calgary, Alberta

Primary Skills:
• Cloud Architecture – Azure & AWS (10+ years of experience in design and implementation)
• Cloud Foundation Services – VNET, VNET Peering, VPN Setup, ExpressRoute, Azure AD Migrations
• Automation & Migration – PowerShell, Bash, Python Scripting, ASR, Azure Migrate, AWS Migration Hub

Must-Have Skills:
• 10+ years of experience in designing and implementing cloud technologies, primarily Microsoft Azure and AWS.
• Working knowledge and experience implementing Cloud Foundation Services, including:
• VNET
• VNET Peering
• VPN Setup
• ExpressRoute
• Experience performing MAP Tool Assessments and Site Recovery Deployment Planner activities.
• Experience designing and implementing Azure AD and user migrations from on-premises environments.
• Experience deploying:
• OpenVPN
• WAF
• API Gateway
• Experience setting up and managing:
• Active Directory (AD)
• DNS
• Backup Configurations
• Monitoring Solutions
• Patching
• Hands-on experience with automation scripting using:
• Windows PowerShell
• Bash
• Python
• Experience embedding GenAI capabilities into web, mobile, and edge applications.
• Experience migrating on-premises workloads to cloud using native cloud migration tools, including:
• Azure Site Recovery (ASR)
• Azure Migrate
• AWS Migration Hub
• Working knowledge of CI/CD concepts and tools, including:
• Azure DevOps
• GitLab
• Knowledge of ARM Templates and experience with container technologies:
• OpenShift
• Kubernetes
• Docker
• Expert-level knowledge of Cloud Foundation Design and Disaster Recovery scenarios.
• Experience preparing complex cloud designs and implementing Infrastructure as Code (IaC) using:
• Azure Bicep
• Terraform
• Experience leading large-scale cloud implementation and migration projects.
• Strong communication, analytical, presentation, and documentation skills.

Good-to-Have Skills:
• Experience with IT Service Management tools such as Remedy and ServiceNow.
• Working knowledge of core services, including:
• Active Directory
• DNS
• Monitoring
• Backup
• Patching
• Security Tools
• Azure Administrator Associate certification.
• Azure Architect certifications (Microsoft Azure 70-534 or 70-535).
• Azure Solutions Architect Expert certification.
• Azure DevOps Engineer Expert certification.
• AWS Certified Solutions Architect certification.
• Experience handling multi-cloud platforms.
• Knowledge of Data Center Migration, P2V, and V2V migrations.

Technical Skills:

Azure Fundamentals:
• Comprehensive understanding of Azure services, solutions, and management tools.
• Familiarity with Azure architecture, including:
• Regions
• Availability Zones
• Resource Groups

Infrastructure Management:
• Proficiency in creating and managing:
• Virtual Machines
• Networks
• Storage Solutions
• Experience with:
• Azure Virtual Network
• VPN Gateway
• ExpressRoute

CI/CD and DevOps:
• Knowledge of Continuous Integration and Continuous Deployment (CI/CD) practices.
• Experience with:
• Azure DevOps
• GitHub Actions
• Other CI/CD tools
• Experience automating deployments using pipelines and Infrastructure as Code (IaC) with:
• ARM Templates
• Terraform
• Bicep

Identity and Access Management (IAM):
• Managing identities and access using Azure Active Directory (Azure AD).
• Implementing:
• Role-Based Access Control (RBAC)
• Security Policies

Database Management:
• Expertise in:
• Azure SQL Database
• Azure Cosmos DB
• Other database services
• Skills in database design, optimization, and maintenance.

Security and Compliance:
• Implementing security best practices and maintaining compliance with industry standards.
• Experience with:
• Azure Security Center
• Azure Policy
• Azure Sentinel

Monitoring and Optimization:
• Experience using:
• Azure Monitor
• Log Analytics
• Application Insights
• Troubleshooting and resolving issues to ensure high availability and reliability.

AI Automation:
• Experience building and deploying GenAI or LLM-driven products.
• Advanced Python experience with:
• FastAPI
• PyTorch
• Hugging Face
• Proficiency in:
• TypeScript/Node.js
• Go
• Java
• Production experience with AWS or Azure GPU workloads, including:
• SageMaker
• Bedrock
• Azure ML
• Strong understanding of:
• Algorithms
• Distributed Systems
• Data Engineering
• Spark
• Kafka
• Delta Lake
• Knowledge of responsible AI, data governance, and cybersecurity best practices for critical infrastructure.