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Azure cloud DevOps Engineer with Terraform programmer

Salary undisclosed

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Title: Azure cloud DevOps Engineer

Location: Washington, DC

Client Notes: looking for more of a Terraform programmer

Long Term Contract

Responsibilities:

The Senior Computer Systems Engineer/Architect is an Azure cloud DevOps Engineer who has a deep understanding of Azure Cloud Architecture and Design, including Azure Landing Zone concepts and implementation, Infrastructure as Code(IaC), Network Architecture, and Programming and Automation in Azure. Candidates with a high level of technical aptitude and software development experience are encouraged to apply. You will be joining a forward-thinking, innovative team that is responsible for building and overseeing public and private servers and network infrastructure in a way that supports key business objectives.

Required Qualifications:

To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

  • 8 years of experience with a Bachelor s; 6 years of experience with Masters.
  • Deep understanding of Azure Landing Zone design and implementation.
    • Knowledge of Azure Landing Zone concepts, including management groups, subscriptions, resource groups, and role-based access control (RBAC).
    • Infrastructure as Code (IaC) including experience with IaC tools such as Terraform, Azure Resource Manager (ARM) and other automation tools for Azure Landing Zone deployments.
    • Expertise in designing and implementing Azure Virtual Networks (VNets), subnets, network peering, and virtual network gateways for scalable and secure environments.
  • Programming and Automation in Azure
    • Proficiency in PowerShell, Python, and Bash for automating tasks and configuring resources in Azure.
    • DevOps tools, including familiarity with CI/CD pipeline using GitHub Actions to support continuous deployment of infrastructure.
    • Knowledge of Azure REST APIs, Azure CLI, and SDKs for automating deployments and managing Azure resources programmatically.
  • Background demonstrating the ability to operate effectively within a complex, dynamic environment.
  • Experience with architecting and deploying an Azure Landing Zone based on Microsoft's Cloud Adoption Framework.
  • Expertise in a wide range of Azure services, including Azure Virtual Networks, Azure Firewall, Azure DNS, Azure ExpressRoute, Azure Blob Storage, Azure Virtual Machines, Azure SQL Database, Azure Cosmos DB, Azure AI, and Azure Virtual Desktop. Additional proficiency in Azure Functions, Azure Logic Apps, Entra ID (Azure Active Directory), and Azure Kubernetes Service (AKS) is highly desirable.
  • Experience using Microsoft Azure, Amazon Web Services (AWS), as well as Google Cloud, or other major cloud computing services.
  • Strong cloud migration and data management skills with an emphasis on data privacy and security.
  • Excellent problem-solving capabilities and can thrive in a fast-paced work environment.
  • Strong communication skills with the willingness to collaborate with cross-functional departments and teams.
  • Ability to obtain a Public Trust Clearance

Desired Qualifications:

  • Master s degree in IT, or a related field.
  • Strong understanding across cloud and infrastructure components (server, storage, network, data, and applications) to deliver end to end cloud infrastructure, architectures, and designs.
  • Experience with Azure DevOps and Jenkins for deployment automation and management.
  • Relevant industry certifications, such as Microsoft Azure DevOps.
  • Knowledge of additional cloud technologies such as Google Cloud Platform, VMware, API Management, and Identity Management
  • Knowledge and implementation of enterprise scale cloud security platforms and tooling
  • 5+ year s experience as an IT Infrastructure Architect, with focus on Azure clouds implementations and migrations, server, storage, and networking

Education/Certification Required:

  • 5+ years experience in a similar role. Bachelor s degree required, Master s degree preferred.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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