AIOps DevOps Engineer – Cloud & ML Ops

Phase2 Technology

Fort Belvoir (VA)

On-site

USD 78,000 - 176,000

Full time

8 days ago
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Benefits offered by this job

Health benefits
Tuition assistance
Paid leave
Professional development

Job summary

Booz Allen is seeking a DevOps engineer to design and implement automated, secure, cloud-based operations supporting Army IT environments. You will work with AIOps, ML Ops, model ops, and data ops to develop tools and deliver them to mission-critical users.

The role emphasizes automating operational workflows, building scalable CI/CD pipelines, and integrating testing and security scans within cloud deployments.

Qualifications

  • 2+ years of experience in developing tools and processes to drive DevOps maturity by automating builds, testing, monitoring, and releasing across environments.
  • 2+ years of scripting with Python or Linux Shell Script.
  • Experience automating infrastructure provisioning and continuous automation across multiple stacks.
  • Experience troubleshooting CI/CD pipelines built with Kubernetes, Docker, or Jenkins in public cloud environments.
  • Experience with AI/ML frameworks for monitoring and optimization.
  • Experience with containerization, orchestration tools, and configuration management.
  • Experience adding testing and security scans to pipelines.
  • TS/SCI clearance required.
  • Bachelor's degree with 2+ years of DevOps experience or 5+ years of DevOps in lieu of a degree.
  • IASAE II certificate such as CASP+, CISSP, or CSSLP.

Responsibilities

Skills

DevOps automation
CI/CD pipelines
Python
Shell scripting
Troubleshooting CI/CD
AI/ML monitoring
Container orchestration
Security tooling
TS/SCI clearance

Education

Bachelor's degree in a related field
IASAE II certificate (CASP+, CISSP, CSSLP)

Tools

Kubernetes
Docker
Jenkins

Job description

Booz Allen is seeking a DevOps engineer to design and implement automated, secure, cloud-based operations supporting Army IT environments. You will work with AIOps, ML Ops, model ops, and data ops to develop tools and deliver them to mission-critical users.

The role emphasizes automating operational workflows, building scalable CI/CD pipelines, and integrating testing and security scans within cloud deployments.

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