AI Production DevSecOps Engineer - Kubernetes & Security

CACI

Denver (CO)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

CACI is seeking a DevSecOps Engineer to join our AI Center of Excellence, part of a fast-moving CTO organization driving the integration and scaling of AI across CACI's mission, program, and business operations. We're looking for an engineer who is passionate about AI and enjoys applying modern DevSecOps practices to build, deploy, secure, and sustain production AI systems.

You'll help operate and improve the Center's internal tools and infrastructure, develop reusable engineering accelerators,

Qualifications

  • Bachelor's degree or equivalent experience with 5+ years of engineering.
  • Strong DevSecOps experience including CI/CD, IaC, automation and secure delivery.
  • Experience with Kubernetes/Docker and production containerized workloads.
  • Experience deploying in AWS/Azure/hybrid/on-prem environments.

Responsibilities

  • Operate, secure, and improve the AI Center of Excellence's internal development infrastructure and tools.
  • Build and maintain secure CI/CD pipelines, IaC, deployment automation, and reusable modules.
  • Deploy and troubleshoot containerized apps using Kubernetes and Docker across multiple environments.
  • Integrate security, identity management, vulnerability management, and software supply chain controls.
  • Implement observability, monitoring, and tracing for production systems.

Skills

CI/CD
Kubernetes
Docker
Terraform
Python
Bash
Security scanning
Observability

Education

Bachelor's degree in a related technical discipline

Tools

AWS
Azure
Terraform
Git

Job description

CACI is seeking a DevSecOps Engineer to join our AI Center of Excellence, part of a fast-moving CTO organization driving the integration and scaling of AI across CACI's mission, program, and business operations. We're looking for an engineer who is passionate about AI and enjoys applying modern DevSecOps practices to build, deploy, secure, and sustain production AI systems.

You'll help operate and improve the Center's internal tools and infrastructure, develop reusable engineering accelerators,

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