Engineering Manager, Frontier AI Infrastructure - Public Sector
Core
Lead the model inference layer for government agencies, enabling state-of-the-art AI models, debugging latency, and managing networking/usage metrics for national security and defense missions.
Role type
Hands-on Engineering Manager (AI Infrastructure)
Builds
Secure, scalable backend systems and model inference services for Public Sector customers
Domain
Public Sector / National Security / AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
People management, hands-on coding, cloud-native architecture, security compliance, incident management, technical roadmap planning
Preferred skills
Full stack development, air-gapped environment experience, team scaling, root cause analysis
Technologies
Kubernetes, Docker, AWS, Azure, GCP
Responsibilities
Lead, coach, and grow a team of engineers; set technical direction for the inference layer; run operational rhythms (sprints, on-call, postmortems); partner with Product and government stakeholders; design secure backend systems; review code and debug production issues
Seniority
Manager, hands-on IC