Teams at Anyscale

Lead Infrastructure, SRE, and Enterprise Governance Engineering teams to design and operate Anyscale's platform. Own strategy and delivery for cluster launcher, cloud providers (AWS/GCP/Azure), Kubernetes support, autoscaling, control and data planes, reliability, billing, and production databases. Recruit, mentor, and manage a high-performing team while partnering with customers and field engineering to solve distributed systems challenges.

Develop and optimize Ray Data, a Python-native distributed data processing engine for AI workloads. Improve performance, scalability, data loading, stability, and fault tolerance across heterogeneous environments. Build production training data solutions and collaborate with customers and AI-native companies to scale large machine learning workloads.

Design, build, and scale control- and data-plane infrastructure for distributed AI workloads. Improve reliability, performance, scheduling, and observability for Ray clusters across cloud and on-prem environments. Support accelerator integration, container image management, and provide on-call troubleshooting and cross-team collaboration.