DevOps Cloud Engineer

Requirements

Must have:

- We need hands-on experience with AWS in both commercial and intelligence community cloud environments, including C2S and SC2S.

• We want strong fundamentals in Linux, networking, and scripting.
• We require experience with CI/CD platforms such as GitLab CI, Jenkins, GitHub Actions, or comparable tools.
• We value comfort working with containers and orchestration at scale.
• We expect a genuine commitment to using AI as a practical part of daily workflows.
• We require an active TS/SCI clearance with Full Scope Polygraph.
• Experience supporting ML model deployment pipelines, including model serving and GPU workloads, is a plus.

Responsibilities:

- We build and maintain deployment pipelines across high-side and low-side AWS environments.

• We design infrastructure with Terraform, CloudFormation, or CDK.
• We containerize and orchestrate workloads using Docker, ECS, and EKS.
• We automate repetitive work wherever possible, including with AI tools.
• We collaborate closely with a small, senior team delivering AI/ML products to real users.

Company:

We are Dimensional Analytics LLC, a fast-moving company that builds and deploys AI/ML solutions for the intelligence community and beyond. We ship real products and use AI to strengthen everything we do, including how we develop and support infrastructure. This is a full-time, on-site role in Northern Virginia, working with a small team that values direct impact, speed, and minimal bureaucracy.

We offer a competitive salary range of $160,000 to $265,000 per year, along with benefits that include 401(k), 401(k) matching, dental insurance, health insurance, paid time off, a referral program, a retirement plan, and vision insurance.