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# DevOps Cloud Engineer (TS/SCI Full Scope Poly)

- **Company:** DIMENSIONAL ANALYTICS, LLC
- **Location:** Washington, DC, United States
- **Salary:** $160,000.0 - $265,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Engineering, Continuous Integration, Linux, DevOps, Github, Machine Learning, Cloud Platform System, Delivery Pipeline, Cloudformation, Containerization, Gitlab-ci, Machine Learning Operations, Terraform, Docker, Jenkins
- **Published:** July 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a4e78afc90909b83

## About the Role

* Hands-on AWS experience in both commercial and IC cloud environments (C2S, SC2S)
 * Strong Linux, networking, and scripting fundamentals
 * Experience with CI/CD tooling (GitLab CI, Jenkins, GitHub Actions, or similar)
 * Comfort with containers and orchestration at scale
 * A genuine willingness to integrate AI into your workflows - not as a buzzword, but as a daily tool
 * Active TS/SCI clearance with Full Scope Polygraph

Nice to Have

 * Experience supporting ML model deployment pipelines (model serving, GPU workloads)
 * You've broken prod at least once and learned something useful from it

## Description

We're looking for a DevOps engineer who doesn't just keep the lights on - you make everything around you faster, more reliable, and smarter. You'll own CI/CD pipelines, infrastructure-as-code, and cloud environments across both classified (C2S/SC2S) and commercial AWS. If you've deployed containers on high-side and lived to tell the tale, we want to talk.

What You'll Do

 * Build and maintain deployment pipelines across high-side and low-side AWS environments
 * Architect infrastructure using Terraform, CloudFormation, or CDK
 * Containerize and orchestrate workloads (Docker, ECS/EKS)
 * Automate everything you can - and use AI tools to automate the rest
 * Collaborate directly with a small, senior team shipping AI/ML products to real users


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