AIOps DevOps Engineer

Booz Allen HamiltonChantilly, VA
68d

About The Position

AIOps DevOps Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve critical IT operations for a space client. 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, ML Ops, model ops, and data ops to develop tools—and get them into the hands of those who need them most. On our team, you’ll streamline IT operations to enhance platform productivity to improve space operations. You’ll automate operational workflows and design a secure, cloud-based communications network to support mission-critical operations.. This is your opportunity to deepen your experience in AIOps and help solve the space's toughest problems. Ready to transform space systems with AIOps? Join us. The world can’t wait.

Requirements

  • 5+ 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
  • 5+ years of experience with scripting languages, such as Python or Linux Shell Script
  • 5+ years of experience automating infrastructure provisioning and in the creation and improvement of continuous automation across multiple technical stacks
  • 5+ years of experience with configuration management tools
  • 5+ years of experience with troubleshooting, triaging, and resolving issues with CI/CD pipeline failures or slowness, built using Kubernetes, Docker, or Jenkins
  • 5+ years of experience with troubleshooting, triaging, and resolving issues related to both open source and commercial tools in cloud environments
  • Experience with artificial intelligence and machine learning frameworks for monitoring and optimization, and containerization and container orchestration platforms and tools
  • Experience adding testing and security scans to pipelines
  • TS/SCI clearance with a polygraph
  • Bachelor's degree

Nice To Haves

  • Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform
  • Experience integrating AI systems architecture, AI platforms, or MLflow
  • ML, DevOps, or Solution Architecture Certification

Benefits

  • health, life, disability, financial, and retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.
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