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.

Develop and optimize Golang backend services and rule engines, collaborate on scalable solutions, process and analyze data, support AI initiatives, contribute to frontend development, and maintain code quality through testing and reviews.