

Azure Cloud Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Cloud Engineer with a contract length of "Unknown," offering a pay rate of "$X per hour." Key skills include Terraform, automation scripting (PowerShell, Python, Bash), and CI/CD pipeline management in GitLab.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 13, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Weehawken, NJ
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π§ - Skills detailed
#Bash #Scripting #Azure cloud #Cloud #Continuous Deployment #Azure #Databases #Terraform #Python #Deployment #Automation #GitLab #Infrastructure as Code (IaC) #Version Control
Role description
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Job Description:
The role of an Azure Cloud Engineer is vital for organizations that use Microsoft's Azure cloud platform. And Proficient in provisioning and managing Azure services using Terraform (IaC). Skilled in writing automation scripts and building CI/CD pipelines in GitLab.
β’ Provisioning and Managing Azure Services using Terraform (IaC):
β’ This responsibility involves using Terraform, an Infrastructure as Code (IaC) tool, to automate the creation, configuration, and management of Azure cloud resources. The engineer writes Terraform scripts that codify the infrastructure, enabling standardized, repeatable deployments of services like virtual machines, databases, networking, and more. Using IaC ensures consistency and simplifies infrastructure version control and auditing.
β’ Writing Automation Scripts:
β’ The engineer needs to be adept at scripting languages such as PowerShell, Python, or Bash to automate cloud operations. These scripts streamline repetitive tasks, manage cloud resources, handle deployments, monitor environments, and integrate different tools and platforms. Effective automation reduces manual intervention, minimizes errors, and speeds up operations.
β’ Building CI/CD Pipelines in GitLab:
β’ The role requires designing and managing Continuous Integration/Continuous Deployment (CI/CD) pipelines using GitLab. This means automating the process of building, testing, and deploying application code and infrastructure changes. The engineer ensures that updates to applications or infrastructure are delivered quickly and reliably, with minimal downtime, by integrating automated tests and deployment steps into GitLab pipelines.