Mission‑Critical AI/ML DevOps Engineer

Booz Allen Hamilton; Norfolk (VA); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking a DevOps engineer to design and operationalize AI-enabled, policy-controlled, containerized workloads across hybrid compute environments. You will automate builds, tests, monitoring, and releases, tying together AI/ML pipelines with secure, scalable infrastructure.

The role emphasizes collaboration with AI Model Engineers and Data Engineers to deliver resilient mission-focused solutions, leveraging automation best practices and modern toolchains.

Qualifications

• 3+ years automating builds, testing, monitoring, and releases across environments.
• 3+ years scripting with Python or Linux Shell Script and configuration management tools.
• 3+ years automating infrastructure provisioning and continuous automation.
• 3+ years troubleshooting CI/CD pipelines with Kubernetes, Docker, or Jenkins.
• 3+ years applying AI/ML to policy-controlled workload management and orchestration.
• 3+ years troubleshooting tools in public cloud environments.
• Experience with AI/ML frameworks for monitoring and optimizing containerization and orchestration.
• Experience adding testing and security scans to pipelines.

Responsibilities

• Build reproducible AI/ML pipelines and automation workflows.
• Collaborate with AI Model Engineers, Data Engineers, Cloud Architects, and ISSEs.
• Integrate AI capabilities into production systems and secure environments.
• Support resilient mission-focused solutions in hybrid compute environments.

Skills

Python scripting

Shell scripting

CI/CD automation

Kubernetes

Docker

Jenkins

AI/ML pipelines

Security testing in pipelines

Education

Bachelor's degree

Tools

Jenkins

Kubernetes

Docker

Job description

Booz Allen Hamilton is seeking a DevOps engineer to design and operationalize AI-enabled, policy-controlled, containerized workloads across hybrid compute environments. You will automate builds, tests, monitoring, and releases, tying together AI/ML pipelines with secure, scalable infrastructure.

The role emphasizes collaboration with AI Model Engineers and Data Engineers to deliver resilient mission-focused solutions, leveraging automation best practices and modern toolchains.