Infrastructure Security Engineer, Public Sector
Scale AI · New York, NY; St. Louis, MO; Washington, DC · Washington, DC
CHECKED 15H AGO
Infrastructureonsite$198k–$342k
At a glance
Highlights
- Secure large-scale cloud environments for public sector platform integrity.
- Partner across product and engineering to embed security in infrastructure lifecycle.
- Support AI systems serving government agencies including Army and Air Force.
What they offer
- comprehensive health, dental and vision coverage
- retirement benefits
- learning and development stipend
- generous PTO
- commuter stipend
- equity compensation
Ideal candidate
A deeply technical, mission-driven engineer who thrives securing complex infrastructure for public sector customers. You solve ambiguous problems independently, communicate clearly, and care about mentoring others on emerging threats.
Requirements
- Active Top Secret clearance required
- Proven experience as a Security Engineer with focus on infrastructure security
- Proficiency in NodeJS, TypeScript, Python and/or Kubernetes
- Strong understanding of modern JavaScript application design
- Production experience with Kubernetes-backed services
- Hands-on experience with SAST and DAST tools and methodologies
- Familiarity with Terraform orchestration for infrastructure management
- Ability to structure complex problems and diagnose root causes independently
- Excellent communication skills with technical and non-technical stakeholders
- Demonstrated ability to influence security strategies and drive improvements
- hiring process
- 90-day waiting period before reconsidering candidates for the same role.
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