Staff Infrastructure Engineer - Models
Core
Design and operate Kubernetes-native systems for large-scale AI workloads including inference, training, CI/CD, and development workflows.
Role type
Staff Infrastructure Engineer (Kubernetes & AI Platforms)
Builds
Kubernetes-native applications, services, platform tooling, operators, and controllers for AI infrastructure.
Domain
AI Infrastructure / High-Performance Computing / Cloud Native
Deliverable
production ML models | infrastructure
Required skills
Kubernetes workload orchestration, production debugging, Go or Python, API design, automation, operators, controllers, reliability engineering, observability
Preferred skills
AI/ML workloads, HPC, training/inference patterns, custom accelerator hardware experience
Technologies
Kubernetes, Go, Python
Responsibilities
Design and build Kubernetes-native applications and services for AI infrastructure; Develop operators, controllers, and automation for workload deployment and scaling; Define workload patterns for inference, training, and CI/CD; Improve reliability and operational maturity of Kubernetes applications; Partner with SRE and engineering teams to support internal and customer-facing environments.
Seniority
Staff, hands-on IC with strategic influence