Cloud Architect

iVedha Inc.; Canada; Remote; CAD 120,000 - 180,000; Full time

Job summary

iVedha Inc. is seeking an experienced Azure Cloud & Automation Architect to lead the design, implementation, and automation of scalable Azure cloud solutions across hybrid and multi-cloud environments.

You will drive end-to-end migrations, build secure, cost-aware architectures, and implement AI-driven automation with IaC, CI/CD, and security best practices, collaborating with DevOps, Security, AI/ML, and Cloud Engineering teams.

Qualifications

• 10+ years of experience in Cloud Architecture, Automation, and AI-driven solutions.
• Expertise in Azure, including Azure Cloud, Azure AI/ML, Azure DevOps, 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, PowerShell, Bash, or Go for automation and scripting.
• Experience with DevOps & CI/CD tools: Azure DevOps, GitHub Actions, GitLab 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.

Responsibilities

• 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.
• Develop and automate cloud infrastructure using Terraform, Bicep, ARM Templates, and Ansible.
• Implement CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab CI/CD, or Jenkins.
• Automate provisioning, monitoring, and scaling of cloud environments using AI-powered automation.
• Implement Azure security best practices including IAM, Zero Trust, and Azure Policy Management.
• Manage Azure Tenant & Active Directory for secure identity access management.
• Utilize Azure Security Center, Log Analytics, and Sentinel for proactive security monitoring and compliance.
• 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.
• 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.

Skills

Azure Cloud

Automation

AI-driven solutions

Multi-cloud

DevOps

Security

IaC

Kubernetes

Python

CI/CD

Networking

IAM

Education

Azure Solutions Architect Expert

AWS/GCP Certifications

CKA/CKAD

Tools

Terraform

Bicep

ARM Templates

Ansible

Azure DevOps

GitHub Actions

GitLab CI/CD

Jenkins

AKS

Docker

Dynatrace

Datadog

New Relic

Azure Monitor

Log Analytics

Sentinel

Job description

We are seeking an experienced Azure Cloud & Automation Architectto lead the design, implementation, and automation of scalable Azure cloud solutions. This role requires expertise in Azure Cloud, AI-driven automation, cloud migration, DevOps, 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 migrationprojects, ensuring seamless transitions from on-prem to cloud.
• Design multi-cloud and hybrid-cloudarchitectures with a focus on security, scalability, and performance.
• Implement AI-driven cloud automationfor 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 pipelinesusing Azure DevOps, GitHub Actions, GitLab 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 Sentinelfor proactive security monitoring and compliance.

AI-Driven Cloud Optimization & Monitoring

• Optimize cloud costs using AI-based forecasting and auto-scalingstrategies.
• Integrate AIOps tools(Dynatrace, Datadog, New Relic) for automated cloud observability and analytics.
• Work with Data Scientists & ML Engineersto deploy AI/ML modelsin Azure environments.

Collaboration & Leadership

• Work closely with cross-functional teams, including DevOps, 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+ yearsof experience in Cloud Architecture, Automation, and AI-driven solutions.
• Expertise in Azure, including Azure Cloud, Azure AI/ML, Azure DevOps, 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, PowerShell, Bash, or Gofor automation and scripting.
• Experience with DevOps & CI/CD tools: Azure DevOps, GitHub Actions, GitLab 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 Sentinelfor 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).