Scale AI
DevOps Engineer, Infrastructure & Security
$149K–$311K
Washington, DC +1 · Full-time · Posted Mar 18, 2026
- Location
- Washington, DC
Washington, District of Columbia, United States - Experience
- 2–3 years ideally, in DevOps, DevSecOps, software engineering focused on CI/CD, or a similar role.
About the job
Build and secure automated CI/CD pipelines for public-sector products, integrating software and machine-learning components into a unified deployment lifecycle.
What you'll do
- Design, develop, and maintain pipelines for deploying lowside and highside products; troubleshoot deployment issues.
- Collaborate with product and engineering teams to improve code integration and standardize deployment systems.
- Integrate security practices, document pipeline processes, and support ML component deployment.
What they ask for
- Hold an active TS/SCI clearance and be able and willing to up-level to CI Poly.
- Proven track record building or significantly enhancing CI/CD pipelines.
- Experience adapting application code for CI/CD integration.
- Strong scripting and automation proficiency (examples include Python, Bash, PowerShell).
Nice to have
- Exposure to machine-learning lifecycles or MLOps concepts.
- Prior experience in classified environments.
Pay
$198,400 — $311,000 USD (base salary); $178,400 — $279,000 USD (base salary); $148,800 — $233,000 USD (base salary)
Tools
Kubernetes, Terraform, Docker, AWS, Azure, GCP, Python, Bash
AI focus
Integrate machine-learning tasks and updates into automated software delivery workflows; direct ML expertise is not required.
Model-written summary · the original posting is authoritative