• Provision, configure, and operate Kubernetes-based clusters for customers across multiple providers • Build automation and tooling to streamline cluster deployments and integrations • Debug customer issues across networking, storage, scheduling, and system layers • Improve reliability and scalability of both training and inference infrastructure • Design and implement monitoring, alerting, and observability for critical systems • Collaborate with engineering and product teams to plan and deliver infrastructure for new services • Participate in on-call and incident response, leading postmortems and reliability improvements