DevOps Engineer, Infrastructure & Security
Scale AI · Washington, DC
CHECKED 15H AGO
Infrastructureonsitemid-level
At a glance
Highlights
- Build unified automated CI/CD pipelines for lowside and highside products.
- Integrate ML tasks into a cohesive automated software delivery workflow.
- Drive deployment standardization across Scale's expanding product portfolio.
What they offer
- base salary
- equity
- benefits
Ideal candidate
Automation-minded engineer with active TS/SCI clearance who thrives in fast-paced classified environments and cares about secure, reliable delivery and learning to operationalize ML.
Requirements
- Active TS/SCI clearance with willingness to upgrade to CI Poly
- 2-3 years as DevOps, DevSecOps or Software Engineer focused on CI/CD
- Proven track record building or enhancing CI/CD pipelines
- Experience integrating application code with evolving CI/CD environments
- Fluency with Kubernetes, Terraform, Docker and cloud platforms (AWS, Azure, GCP)
- Proficiency in scripting and automation with Python, Bash, PowerShell
- Familiarity with Jenkins, GitLab CI, GitHub Actions, Azure DevOps
- Knowledge of software architecture, system design and version control
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta