Build and scale the infrastructure behind an AI agent platform by designing reliable backend services, automating operations, and optimizing production ML workloads and distributed systems.
Own and improve the infrastructure behind a deploy-anywhere platform, operating Kubernetes and ML inference workloads, CI/CD, infrastructure-as-code, and observability across cloud and on-premises environments.