Member of Technical Staff, Cloud Infrastructure

Architect and build scalable, resilient cloud infrastructure that powers distributed AI training, inference, and data processing. Lead technical design discussions, mentor engineers, and establish best practices for large-scale ML systems. Implement core backend services like job scheduling, resource management, autoscaling, and model serving, while optimizing compute cost, storage lifecycle, and network performance. Own end-to-end systems with strong observability, reliability, and fault tolerance across multi-cloud environments.