Azure Cloud Engineer (15 Years Experience Minimum)

  • New York, NY
  • Posted 21 days ago | Updated 11 days ago

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Azure Cloud

Job Details

Job Title - Azure Cloud Engineer
Location - Hybrid (NY)
Duration - 12+ Months

Experience: 15 20 years total IT experience, with 8+ years in Azure cloud engineering, operations, and administration
Role Overview: The Azure Cloud Engineer is responsible for managing, maintaining, and optimizing enterprise-scale Azure environments. The role involves supporting mission-critical applications hosted in Azure, improving operational reliability, automating deployments, and collaborating with development teams to enhance application performance and security.
Required Skills and Qualifications:

  • Hands-on experience with major Azure services (App Services, API Management, Functions, Virtual Networks, Azure Storage, Key Vault, and Azure SQL).
  • Proficiency in using Azure Monitor, Log Analytics, and Application Insights for operational intelligence.
  • Strong troubleshooting and performance analysis skills in distributed cloud environments.
  • Experience with CI/CD pipelines, Infrastructure-as-Code tools, and version control platforms.
  • Scripting proficiency in PowerShell, Python, or C#.
  • Familiarity with integration tools such as MuleSoft is a plus.
  • Solid understanding of networking, load balancing, authentication, and identity configurations in Azure.
  • Excellent communication skills and the ability to work across global teams.

Microsoft Certifications:

  • Required: Microsoft Certified: Azure Administrator Associate (AZ-104)
  • Preferred:
    • Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
    • Microsoft Certified: Azure DevOps Engineer Expert (AZ-400)

Key Responsibilities:
Cloud Infrastructure Management

  • Manage and support Azure resources such as App Services, Function Apps, API Management, Virtual Machines, Networking, and Storage Accounts.
  • Perform configuration, scaling, and performance tuning of Azure resources across development, staging, and production environments.
  • Implement resource tagging, access management, and cost optimization strategies.
  • Ensure high availability, disaster recovery readiness, and adherence to defined SLAs.

Monitoring, Troubleshooting, and Optimization

  • Monitor platform performance and service health using Azure Monitor, Log Analytics, and Application Insights.
  • Diagnose and resolve infrastructure and application performance issues.
  • Analyze system metrics to identify trends, performance bottlenecks, and optimization opportunities.
  • Perform root cause analysis and implement preventive solutions for recurring issues.

Automation and Deployment

  • Build and maintain CI/CD pipelines using Azure DevOps for streamlined deployment of applications and infrastructure updates.
  • Automate provisioning, configuration, and operational tasks using tools such as PowerShell, ARM/Bicep, or Terraform.
  • Collaborate with developers to support Infrastructure-as-Code adoption and secure deployment practices.

Security and Compliance

  • Ensure adherence to Azure security best practices, including managed identity, RBAC, and network security groups.
  • Conduct vulnerability scans, patch management, and access control reviews.
  • Support compliance activities aligned with organizational security standards and policies.

Collaboration and Communication

  • Work closely with application development, data, and operations teams to ensure consistent environment stability.
  • Coordinate across onshore/offshore teams for issue resolution and release activities.
  • Provide clear communication around incident resolution, impact assessments, and process improvements.

Continuous Improvement

  • Maintain updated documentation for architecture, configurations, and topology.
  • Recommend architectural improvements, migration strategies, and modernization initiatives.
  • Contribute to automation strategies for monitoring, alerting, and system healing processes.
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.