Cloud Automation Engineer for AI Platform & DevSecOps

CACI International Inc.; Washington (District of Columbia); On-site; USD 115,000 - 252,000; Full time

Job summary

CACI International Inc. seeks a Cloud Automation Engineer to design, build, and secure Terraform-based IaC for Azure Governed and Azure Commercial environments.

You will create CI/CD pipelines, automate provisioning, and support containerization and observability across enterprise AI platforms and data analytics workloads. Responsibilities include maintaining governance, cost optimization, and documentation, while collaborating with government and development teams to uphold security and

Qualifications

• Bachelor's degree plus 13 years of cloud engineering/DevOps experience.
• Extensive IaC experience using Terraform or equivalent tools.
• Experience with Azure cloud services including compute, storage, networking, identity and security.
• Proven ability to build CI/CD pipelines with GitHub Actions, Azure DevOps, GitLab CI/CD or Jenkins.
• Scripting skills in Python, PowerShell, or Bash.

Responsibilities

• Design, develop, and maintain IaC using Terraform to deploy Azure environments for AI platforms and data analytics.
• Build and manage CI/CD pipelines and deployment automation using GitHub Actions and Azure DevOps.
• Implement automation solutions to streamline provisioning and infrastructure operations.
• Support containerization strategies with Docker, Kubernetes, or AKS.
• Establish comprehensive monitoring, logging, and alerting for apps and data pipelines.
• Create architecture diagrams, runbooks, and IaC repositories for operations.

Education

Bachelor's degree

Tools

Terraform

Azure DevOps

GitHub Actions

Docker

Kubernetes

Ansible

Python

PowerShell

Job description

CACI International Inc. seeks a Cloud Automation Engineer to design, build, and secure Terraform-based IaC for Azure Governed and Azure Commercial environments.

You will create CI/CD pipelines, automate provisioning, and support containerization and observability across enterprise AI platforms and data analytics workloads. Responsibilities include maintaining governance, cost optimization, and documentation, while collaborating with government and development teams to uphold security and