DevSecOps Engineer (AI/ML)

CACI International•Denver, CO

7d•$90,300 - $189,600

About The Position

CACI is seeking a DevSecOps Engineer to join their AI Center of Excellence, which is part of a fast-moving CTO organization focused on integrating and scaling AI across CACI's mission, program, and business operations. The role involves applying modern DevSecOps practices to build, deploy, secure, and sustain production AI systems. The engineer will operate and improve the Center's internal tools and infrastructure, develop reusable engineering accelerators, and collaborate with programs to integrate AI into mission environments. Additionally, the role offers the opportunity to influence CACI's AI technology direction by contributing to technology evaluations, strategic partnerships, and the development of enterprise capabilities to accelerate AI adoption.

Requirements

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.

Nice To Haves

Experience designing, deploying, and operating production Kubernetes environments.
Experience designing reusable Infrastructure as Code, CI/CD frameworks, or cloud deployment architectures.
Experience hardening and packaging engineering tools or open-source technologies for production deployment and reuse.
Production experience with AI, machine learning, deep learning, computer vision, or generative AI systems.
Experience with AI services and engineering technologies such as Amazon Bedrock, SageMaker, Azure AI Foundry, MLOps tooling, model serving, RAG, or agentic AI.
Experience with software supply chain security technologies such as Harbor, Anchore, Black Duck, Trivy, or Artifactory.
Experience supporting DoD or Federal environments, including RMF and ATO processes.
Active TS/SCI 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.