DevSecOps Engineer (AI/ML)

About the role

CACI is seeking a DevSecOps Engineer to join its AI Center of Excellence within a fast-moving CTO organization that drives the integration and scaling of AI across CACI's mission, programs and business operations. The engineer applies modern DevSecOps practices to build, deploy, secure and sustain production AI systems, helps operate and improve internal tools and infrastructure, develops reusable engineering accelerators and partners with programs to bring AI into mission environments. The role is full time, regular, with no travel required.

Key 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.

Required profile

• 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 deploying and supporting applications in AWS, Azure, hybrid or on-premises environments.
• Ability to obtain a U.S. Government Top Secret security clearance.
• Demonstrated passion for AI and willingness to learn emerging technologies, including generative AI and agentic AI.
• Desired: experience with production Kubernetes, reusable IaC and CI/CD frameworks, AI/ML systems, AI services such as Amazon Bedrock, SageMaker, Azure AI Foundry, MLOps, RAG or agentic AI, software supply chain security tools, and DoD/Federal environments including RMF and ATO.

Required skills

• Kubernetes and Docker
• Terraform and scripting languages such as Python or Bash
• Identity, secrets management, security scanning and production observability
• Strong troubleshooting, communication, collaboration and technical documentation skills

What we offer

• A culture of integrity, an environment of trust and a focus on continuous growth.
• Flexible time off benefit and access to learning resources.
• Comprehensive benefits including healthcare, wellness, financial, retirement, family support, continuing education and time off.
• Proposed pay range of $82,100-$172,400, depending on location, experience, skills and certifications.