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Azure Cloud Engineer

Remote, USA Full-time Posted 2026-06-22

ECS is seeking an Azure Cloud Engineer to work remotely.

ECS is seeking an Azure Cloud Engineer to join a growing Data Analytics, Business Intelligence, and AI/ML team supporting DHS HQ. The Azure Cloud Engineer will support the modernization and re-architecture of a large, legacy system and will also design rapid Azure solutions. The successful candidate will be comfortable working with complex, mission-critical systems and will bring both technical depth in Azure services and adaptability to help shape the modernization journey. 

Key Responsibilities

  • Provide subject matter expertise using best practices for designing cloud solutions. Consult, develop proofs of concept, and advise on the best use of Azure services to solve current challenges.
  • Design and implement Azure-based solutions leveraging services such as Azure App Services, Serverless architecture, Azure Kubernetes Service, Azure Functions, Azure Cosmos DB, and Azure Storage
  • Set up automation, CI/CD pipelines and infrastructure as code (IaC) with tools like Terraform or Azure Resource Manager (ARM) templates
  • Evaluate and select appropriate cloud services and technologies based on requirements and cost consideration to meet clients’ technical, security, and business needs
  • Research and propose solutions for Azure data transformation, data connections, operational frameworks, and application integration
  • Lead the cloud architecture design for Azure to meet clients’ technical, security, and business needs
  • Research and propose solutions for Azure data transformation, data connections, operational frameworks, and application integration
  • Provision, manage, and set up monitoring in Azure cloud services/systems (to include support with OS and application-level patching) 

Salary Range: $130,000 – $140,000

General Description of Benefits

Qualifications
  • Expertise in GitLab CI, repositories, and Ansible
  • Experience with Azure Data Lake, Azure Data Pipelines, Azure Data Factory 
  • Familiarity with SQL Server, SSIS, and data warehouse environments
  • Excellent communication skills and ability to collaborate with non-technical stakeholders
  • Understanding of identity and access management in complex
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