AI-Driven Cloud DevOps Engineer (AWS, Terraform, GPU)

Dimensional Analytics; Ashburn (GA); On-site; USD 160,000 - 265,000; Full time

Benefits offered by this job

401(k)

401(k) matching

dental insurance

health insurance

paid time off

a referral program

a retirement plan

vision insurance

Job summary

Dimensional Analytics LLC in Northern Virginia is seeking a senior infrastructure/DevOps engineer to support AI/ML product deployments across high- and low-side AWS environments. The role requires hands-on AWS, Linux, networking, scripting, and experience with CI/CD pipelines.

You will design infrastructure with Terraform, CloudFormation, or CDK, containerize with Docker, ECS, and EKS, and automate tasks with AI tools, collaborating with a small senior team delivering real user-ready solutions.

Qualifications

• Hands-on experience with AWS in commercial and IC cloud environments (C2S/SC2S).
• Strong fundamentals in Linux, networking, and scripting.
• Experience with CI/CD platforms such as GitLab CI, Jenkins, GitHub Actions or comparable tools.
• Comfort working with containers and orchestration at scale.
• Commitment to using AI as part of daily workflows.
• Active TS/SCI clearance with Full Scope Polygraph.
• Experience deploying ML models and GPU workloads is a plus.

Responsibilities

• Build and maintain deployment pipelines across high-side and low-side AWS environments.
• Design infrastructure with Terraform, CloudFormation, or CDK.
• Containerize and orchestrate workloads using Docker, ECS, and EKS.
• Automate repetitive work wherever possible, including with AI tools.
• Collaborate with a small, senior team delivering AI/ML products to real users.

Skills

AWS experience

Linux

Networking

Scripting

AI in daily workflows

Model deployment pipelines

Active TS/SCI clearance

Tools

GitLab CI

Jenkins

GitHub Actions

Job description

Dimensional Analytics LLC in Northern Virginia is seeking a senior infrastructure/DevOps engineer to support AI/ML product deployments across high- and low-side AWS environments. The role requires hands-on AWS, Linux, networking, scripting, and experience with CI/CD pipelines.

You will design infrastructure with Terraform, CloudFormation, or CDK, containerize with Docker, ECS, and EKS, and automate tasks with AI tools, collaborating with a small senior team delivering real user-ready solutions.