Azure Cloud Architect

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Company: Codeforce360

Location: New York, NY 10025

Description:

Required Skills:
  • Azure Architecture.

Responsibilities:
  • In-depth hands-on understanding of the Microsoft Azure Cloud Adoption Framework (CAF) as a prescriptive guide to developing a cloud governance model.
  • In-depth understanding of Active Directory and Azure AD as related to SaaS offerings like Office 365.
  • Design, plan and implement Azure cloud solutions.
  • In-depth experience in automation, Infrastructure-as-Code (IaC), Configuration-as-Code (CaC) and management of both on-premises infrastructure and applications, cloud hosted Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) capabilities (Azure) including virtual networks, virtual machines, Docker, Kubernetes, and data services.
  • Be able to deploy through automation and translate from and/or contribute to application design architectures for Azure.
  • Can assist client with sales pursuits by quickly transforming an initial sales call into becoming a trusted advisor with the client.
  • Has had previous experience as a developer and/or as an infrastructure resource that is equally comfortable with C#, Python and PowerShell, Azure ARM Templates, Terraform, Azure DevOps, Jenkins, GitHub.
  • Lead and deliver with a team, projects that encompass both modern-application-code (MaC) design patterns as well as infrastructure-as-code projects (IaC).

Skills Requirement:
  • Process/Methodology: Lean Engineering, Agile, Scrum, DevOps Culture.
  • Platforms: Windows, Linux, Microsoft Azure, Amazon AWS.
  • DevOps: Tools Azure PowerShell ARM, AWS CloudFormation, Chef, Puppet, Ansible, Jenkins, Jira.
  • Containers: Docker, Kubernetes, AKS, ACR, EKS, ECR.
  • Virtualization: Hyper-V, VMware, Virtual Box.
  • Data: SQL Database, CosmosDb, Oracle Database.
  • Languages: Python, Bash, PowerShell, YAML, JSON.
  • Frameworks: .NET, ASP.Net, Java.
  • Tools: VS Code, Azure DevOps, Build / Release Pipelines, MSBuild, Git, GitHub.

Education/Experience:
  • Education Bachelors or Masters in Computer Science or equivalent.
  • Experience Minimum 8 years of industry experience.

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