DevSecOps Engineer AI/ML - CACI International

OpenTalent; Denver (CO); On-site; USD 110,000 - 160,000; Full time

Job summary

CAC I invites applications for a DevSecOps Engineer to join our AI Center of Excellence. You will apply modern DevSecOps practices to build, deploy, secure, and sustain production AI systems, operate internal tools, and develop reusable accelerators across programs.

You will collaborate with mission teams to integrate AI into environments, influence technology directions, and help select emerging technologies to accelerate AI adoption enterprise-wide.

Qualifications

• Bachelor's degree in a related technical discipline or equivalent experience.
• 5+ years of relevant engineering experience.
• Strong DevSecOps experience with CI/CD, IaC, automation and secure software delivery.
• Experience with Kubernetes, Docker, and production containerized workloads.
• Experience deploying and supporting applications in AWS, Azure, hybrid, or on-premises.
• Experience with Terraform and scripting languages such as Python or Bash.
• Experience with identity, secrets management, security scanning, and production observability.
• Strong troubleshooting, communication, collaboration, and technical documentation skills.
• Passion for AI and willingness to learn emerging technologies including generative AI and agentic AI.
• Ability to obtain a U.S. Government Top Secret security clearance.

Responsibilities

• Operate, secure, and improve the AI Center of Excellence's internal development infrastructure and engineering tools.
• Build and maintain secure CI/CD pipelines, Infrastructure as Code, deployment automation, and reusable infrastructure modules.
• Deploy, operate, and troubleshoot containerized applications using Kubernetes and Docker across cloud, on-premises, and classified environments.
• Integrate security, identity and access management, vulnerability management, and software supply chain controls throughout the delivery lifecycle.
• Implement monitoring, logging, tracing, and other observability capabilities for production systems.
• Partner with program engineering teams to integrate and operationalize AI capabilities in customer environments.
• Develop reusable AI deployment accelerators, reference implementations, engineering patterns, and technical guidance based on lessons learned across programs.

Skills

DevSecOps

CI/CD

Kubernetes

Docker

Terraform

Python

Bash

AWS

Azure

Security scanning

Observability

Troubleshooting

Documentation

AI

Education

Bachelor's degree

Tools

Kubernetes

Docker

Terraform

Job description

The Opportunity: 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, and partner with programs to integrate AI into mission environments. You'll also have the opportunity to help shape CACI's broader AI technology direction by contributing to the evaluation and selection of emerging technologies, informing strategic technology partnerships, and influencing the enterprise capabilities we develop to accelerate AI adoption across CACI. Responsibilities:

• Operate, secure, and improve the AI Center of Excellence's internal development infrastructure and engineering tools.
• Build and maintain secure CI/CD pipelines, Infrastructure as Code, deployment automation, and reusable infrastructure modules.
• Deploy, operate, and troubleshoot containerized applications using Kubernetes and Docker across cloud, on-premises, and classified environments.
• Integrate security, identity and access management, vulnerability management, and software supply chain controls throughout the delivery lifecycle.
• Implement monitoring, logging, tracing, and other observability capabilities for production systems.
• Partner with program engineering teams to integrate and operationalize AI capabilities in customer environments.
• Develop reusable AI deployment accelerators, reference implementations, engineering patterns, and technical guidance based on lessons learned across programs.

Qualifications: Required:

• Bachelor's degree in a related technical discipline or equivalent experience, with 5+ years of relevant engineering experience.
• Strong DevSecOps experience, including CI/CD, Infrastructure as Code, automation, and secure software delivery.
• Experience with Kubernetes, Docker, and production containerized workloads.
• Experience deploying and supporting applications in AWS, Azure, hybrid, or on-premises environments.
• Experience with Terraform and scripting languages such as Python or Bash.
• Experience with identity, secrets management, security scanning, and production observability.
• Strong troubleshooting, communication, collaboration, and technical documentation skills.
• Demonstrated passion for AI and willingness to continually learn emerging technologies, including generative AI and agentic AI.
• Ability to obtain a U.S. Government Top Secret security clearance.

Desired: