AI DevOps Engineer

Booz Allen HamiltonSan Antonio, TX

About The Position

AI DevOps Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve critical IT operations for defense. As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly deliver the best operational data. Booz Allen is the leading provider of AI services to the nation, and we’re looking for a DevOps engineer with knowledge of AIOps, MLOps, model ops, and data ops to help develop tools and get them into the hands of those who need them most. On our team, you’ll help streamline IT operations to enhance platform productivity to improve and increase efficient use of systems and support agentic solutions. You’ll automate operational workflows, enhance cross system efficiency, and increase data fidelity. This is your opportunity to continue to develop your experience in AIOps and help solve defense partners’ toughest problems. Ready to transform defense capabilities with AIOps? Join us. The world can’t wait.

Requirements

  • 2+ years of experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments
  • 2+ years of experience with scripting languages such as Python or Linux Shell Script
  • 2+ years of experience automating infrastructure provisioning with tools
  • 2+ years of experience troubleshooting, triaging, and resolving issues with CI/CD pipeline failures or slowness, built using Kubernetes, Docker, or Jenkins
  • Experience with containerization and container orchestration platforms and tools
  • Knowledge of AI and machine learning frameworks for monitoring and optimization
  • Knowledge of agentic AI development practices
  • Secret clearance
  • Bachelor's degree

Nice To Haves

  • 2+ years of experience in the creation and improvement of continuous deployment tools built on Kubernetes
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Experience adding testing and security scans to pipelines
  • Knowledge of creating and improving continuous automation across multiple technical stacks
  • Knowledge of triaging and resolving issues related to both open-source and commercial tools in public cloud environments
  • ML, DevOps, or Solution Architecture Certification

Benefits

  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
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