Azure Cloud Operations Engineer — Production & Automation

Socket.dev

Herndon (VA)

On-site

USD 125,000 - 150,000

Full time

8 days ago

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Job summary

ePlus is seeking a Cloud Operations Engineer to join a team delivering managed Azure workloads for customers. You will deploy, automate, and manage Azure production environments, ensuring reliability, security, and governance.

You will also participate in on-call rotations, optimize CI/CD pipelines with Azure DevOps, and contribute to architecture decisions across multiple regions and services.

Qualifications

  • 2+ years deploying and supporting Azure environments.
  • 3+ years deploying and supporting complex datacenter/public cloud environments.
  • Azure DevOps Engineer Expert certification or other Azure certificate preferred.
  • Strong written and verbal communication skills.
  • Experience in customer-facing consulting or support roles is a plus.
  • Azure IaaS and PaaS services experience.
  • Troubleshoot complex cloud issues across multiple domains.

Responsibilities

  • Deployment, automation, management, and maintenance of Azure production environments.
  • Ensuring availability, performance, security, governance and scalability of Azure systems.
  • Management of creation, release, and configuration of production systems.
  • System troubleshooting across application domains and platforms.
  • Participation in on-call rotation.

Skills

Azure
CI/CD
IaC
Linux/Windows admin
Azure DevOps
Cloud networking
Kubernetes security
Communication
Customer-facing
On-call support

Education

Azure DevOps Engineer Expert certification
Relevant IT degree

Tools

Terraform
ARM Templates
Azure Bicep
Splunk

Job description

ePlus is seeking a Cloud Operations Engineer to join a team delivering managed Azure workloads for customers. You will deploy, automate, and manage Azure production environments, ensuring reliability, security, and governance.

You will also participate in on-call rotations, optimize CI/CD pipelines with Azure DevOps, and contribute to architecture decisions across multiple regions and services.

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