DevSecOps Engineer (AI/ML)

CACI International Inc; Denver (CO); On-site; USD 82,000 - 172,000; Full time

Job summary

CACI International Inc. is seeking a DevSecOps Engineer (AI/ML) to join our AI Center of Excellence. The role focuses on building, securing, and sustaining production AI systems with modern DevSecOps practices.

You will operate internal tools, develop accelerators, and partner with programs to integrate AI into mission environments. This position requires 5+ years in DevSecOps, strong automation skills, and experience with Kubernetes, Docker, and cloud platforms.

Qualifications

• 5+ years of engineering experience in DevSecOps or related fields.
• Strong DevSecOps experience with CI/CD, IaC, automation, and secure software delivery.
• Experience with Kubernetes, Docker, and production containerized workloads.
• Experience deploying 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 learn emerging technologies.

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

Kubernetes

Docker

CI/CD

Terraform

Python

Bash

Security scanning

Observability

AWS

Azure

Education

Bachelor's degree or equivalent experience

Tools

Terraform

Job description

Job Title: DevSecOps Engineer (AI/ML)
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: None
Employee Type: Regular
Percentage of Travel Required: None
Type of Travel: None
Anticipated Posting End: 1/1/2027

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

• Candidates with advanced DevSecOps or production AI expertise may be considered for a more senior role based on experience.
• 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.

What You Can Expect

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The Proposed Salary Range For This Position Is

$82,100-$172,400

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.