Staff Infrastructure Engineer - Models

Design and operate Kubernetes-native applications for large-scale AI infrastructure.

• •Design, build, and operate Kubernetes-native applications and platform services to run large-scale AI training and inference workloads, improving reliability and operational maturity across internal and customer environments.
• •Key Responsibilities Design, build and operate Kubernetes-native applications, services and workloads for large-scale AI infrastructure.
• •Develop operators, controllers, APIs and automation to deploy, scale, monitor and operate complex workloads.
• •Define workload patterns for inference, training, CI/CD and development workflows.
• •Improve reliability, observability and operational maturity of Kubernetes applications.
• •Collaborate with SRE, infrastructure, deployment and engineering teams to support environments.
• •Requirements Strong experience designing and running production workloads on Kubernetes.
• •Deep understanding of workload orchestration, scaling, reliability and production debugging on Kubernetes.
• •Experience building platform services, operators or controllers using Go or Python.
• •Collaborative work style across engineering, infrastructure and SRE teams.