Staff AI Infra Solutions Engineer: Kubernetes & MLOps Lead

A leading AI infrastructure company in San Francisco is looking for a Staff Solutions Engineer to drive the deployment of AI/ML workloads for enterprise customers. In this role, you will leverage your expertise in Kubernetes and MLOps to ensure optimal performance and customer satisfaction. An ideal candidate should have 3-5 years of experience in cloud infrastructure and strong technical communication skills. This position offers a competitive salary and flexible work arrangements. J-18808-Ljbffr