Kubernetes Service Platform Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads
Solution Development & Communication: Independently translate client needs into practical solutions and manage project scope and delivery, communicating proposals, findings and value clearly to stakeholders.
Kubernetes Service Platform Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads
Craft and refine executive messaging, briefing materials, op-eds, press statements, and thought leadership content that articulate Meta's AI vision and innovation agenda to external audiences
Build and lead a small engineering team, including hiring, onboarding, coaching and developing engineers, setting clear expectations and fostering a culture of ownership, technical excellence and continuous learning.