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Azure Cloud Engineer

Roles & Responsibilities

  • AZ-104, AZ-305, AZ-700, or AZ-720 certification (at least one)
  • 5+ years of experience in Azure Cloud engineering
  • 5+ years of experience in a Cloud Engineer role
  • Hands-on experience with Terraform scripting, Azure policies, and Azure Resource Templates

Requirements:

  • Configure and manage PaaS offerings (WebApp, Azure Database services, Azure Kubernetes, Azure Data Lake) and deploy resources using Azure Resource Templates
  • Develop and maintain Terraform scripts and Azure policies to enforce standard configurations
  • Migrate applications to Azure and design enterprise-level account structures and security models
  • Implement comprehensive security controls (identity and access management, data security, network security, DLP, cloud security, vulnerability management, audits) and enable build automation and CI/CD using Azure DevOps, Docker, Chef, Terraform

Job description


Position: Azure Cloud Engineer

Location: 100% Remote (EST hours)

Duration: 6+ months contract

Required Certification:
• AZ-104, AZ-305, AZ-700, AZ-720 (at least one of these)

Required Skills:
• Must have 5 years of experience in Azure Cloud.
• Must have 5 years of experience in a Could Engineer position
• Experience in configuring and using PaaS offerings (like WebApp, Azure Database services, Azure Kubernetes, Azure DataLake etc.)
• Hands-on experience writing effective Terraform scripts.
• Hands-on experience writing Azure policies.
• Hands-on experience with Azure Resource Templates based on best practices.
• Hands-on experience migrating applications to the cloud
• Experience in setting up enterprise level account structures and security models in Azure.
• Experience with Microsoft Azure Cloud.
• Demonstrated experience in implementing security controls, including access control, privileged access management, data security, network security, data loss preventions, Cloud security, vulnerability management, configuration management, privacy, and audits.
• Build automation handling large numbers of diverse systems with configuration management and automation systems like Azure DevOps (VSTS), Docker, Chef, Terraform.


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