Remote Cloud Apps Engineer - AWS/Azure, FedRAMP

Automatic Data Processing, Inc.

United States

Remote

USD 120,000 - 170,000

Full time

40 hours ago
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Job summary

Redhawk Federal is seeking a Cloud Application Engineer to design, deploy, and maintain secure, scalable cloud-based environments supporting mission operations. This remote role requires residence near Washington, DC or commutable distance to attend meetings.

Responsibilities include administering Azure and AWS development environments, SQL Server, Jira/Confluence, and implementing IaC with Terraform, CloudFormation, or CDK; integrating AI-enabled services and enterprise applications, and

Qualifications

  • 5–8 years developing enterprise web applications and cloud-native solutions.
  • Bachelor’s degree in CS, Software Engineering, IT, or related field.
  • Experience with Microsoft SQL Server administration.

Responsibilities

  • Design, deploy, and maintain cloud-based development environments on Azure and AWS.
  • Administer Microsoft SQL Server with security and recovery.
  • Integrate enterprise apps with Microsoft 365, AWS, and third-party services.
  • Configure IaC tools (Terraform, CloudFormation, CDK) with the cloud engineering team.
  • Maintain Jira and Confluence environments, including access management and upgrades.

Skills

Cloud engineering
DevSecOps
Secure software development
Federal cybersecurity knowledge
Jira administration
Confluence administration

Education

Bachelor's degree in CS/Software Engineering/IT

Tools

AWS
Azure
Terraform
CloudFormation
CDK
Docker
Kubernetes
Jira
Confluence

Job description

Redhawk Federal is seeking a Cloud Application Engineer to design, deploy, and maintain secure, scalable cloud-based environments supporting mission operations. This remote role requires residence near Washington, DC or commutable distance to attend meetings.

Responsibilities include administering Azure and AWS development environments, SQL Server, Jira/Confluence, and implementing IaC with Terraform, CloudFormation, or CDK; integrating AI-enabled services and enterprise applications, and

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