Azure Cloud Engineer (100% Remote)

DMS Vision•Frisco, TX
•Remote

About The Position

As an Azure Cloud Engineer, you will work with a small team to help manage and grow Microsoft Azure infrastructure. You will collaborate with the team to design, implement, and manage solutions, contributing to cloud-based projects by supporting performance, security, and scalability. The role emphasizes repeatable, version-controlled, and auditable Infrastructure as Code practices. Resource creation and modification are handled through automation scripts, using Bicep where possible and PowerShell when necessary. Scripts run through Azure DevOps pipelines.

Requirements

  • General cloud experience, including work in a cloud environment in an operational or development role.
  • Conceptual understanding of cloud concepts such as PaaS, serverless compute, and virtual networks.
  • Experience writing code, including scripting in languages such as PowerShell, Bash, Perl, or Python, and/or software development in languages such as C#, Java, JavaScript, or Python.
  • Experience creating and using automated deployments with tools such as Azure DevOps Pipelines, ARM/Bicep, GitHub Actions, AWS CloudFormation, or Terraform.
  • Experience with version control software.

Nice To Haves

  • Experience with Microsoft Azure.
  • Experience with Azure DevOps.
  • Experience with network security.
  • PowerShell Core scripting experience.
  • Bicep scripting experience.
  • KQL and Azure Monitor log analysis experience.
  • Document writing experience.
  • Microsoft Visio experience.
  • Git version control experience.
  • SQL Server administration experience.
  • Windows Server administration experience.
  • Redis experience.

Responsibilities

  • Help manage and grow Microsoft Azure infrastructure.
  • Collaborate with the team to design, implement, and manage solutions.
  • Contribute to cloud-based projects, supporting optimal performance, security, and scalability.
  • Create and modify resources through automation scripts, using Bicep whenever possible and PowerShell when necessary.
  • Run scripts via Azure DevOps pipelines.
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