Designs and develops Kubernetes-native AI infrastructure for inference and distributed model training. Responsibilities include writing Go-based controllers, operators, APIs, CLIs, and developer tools; optimizing serverless container workflows, GPU scheduling, autoscaling, reliability, security, and workload isolation; and monitoring Kubernetes ecosystem advancements. The role collaborates with technical teams to solve complex distributed-systems challenges and influence the product roadmap.