Senior DevOps Engineer — AI/ML & Geospatial Cloud

CACI International Inc; Fort Bragg (CA); On-site; USD 100,000 - 220,000; Full time

Job summary

CACI International Inc. seeks an Expert DevOps Engineer to design and manage cloud and Kubernetes infrastructure for geospatial AI/ML workflows. You will build scalable CI/CD pipelines, automate provisioning with Terraform or Ansible, and enforce security best practices across cloud environments.

Collaboration with GEOINT teams is essential to deliver reliable, scalable solutions for defense missions. The role requires TS/SCI eligibility and a strong background in DevOps, cloud deployment, and

Qualifications

• Hold a Top Secret clearance with SCI eligibility.
• Bachelor’s Degree in Computer Science with 10+ years IT/DevOps experience or 14+ years with Kubernetes expertise.
• Strong Docker, cloud platform experience (AWS/Azure/GCP), and scripting in Python, Bash, or Go.
• Experience with CI/CD, IaC tools, networking in cloud environments, and monitoring/logging.
• Excellent verbal and written communication; able to lead projects.

Responsibilities

• Design, implement, and manage Kubernetes clusters and cloud infrastructure for AI/ML geospatial solutions.
• Develop and maintain CI/CD pipelines, automate infrastructure provisioning with Terraform/Ansible, and ensure security best practices.
• Collaborate with cross-functional teams including imagery and GEOINT analysts to optimize performance.
• Deploy AI/ML capabilities and stay current with DevOps and Kubernetes trends.

Skills

Kubernetes

DevOps

CI/CD pipelines

Docker

Cloud platforms (AWS/Azure/GCP)

Scripting (Python, Bash, Go)

Terraform

Ansible

Monitoring/Logging tools

Security best practices

Education

Bachelor’s Degree in Computer Science

Master’s Degree in Computer Science or similar

Tools

Terraform

Ansible

Docker

Kubernetes

Istio / Linkerd

GitOps

CI/CD tools

Monitoring/Logging tools

Job description

CACI International Inc. seeks an Expert DevOps Engineer to design and manage cloud and Kubernetes infrastructure for geospatial AI/ML workflows. You will build scalable CI/CD pipelines, automate provisioning with Terraform or Ansible, and enforce security best practices across cloud environments.

Collaboration with GEOINT teams is essential to deliver reliable, scalable solutions for defense missions. The role requires TS/SCI eligibility and a strong background in DevOps, cloud deployment, and