Teams at Anyscale

Design, build, optimize, and scale Ray Data’s distributed data processing infrastructure for large-scale AI training and inference. Responsibilities include distributed execution, scheduling, resource management, data partitioning, fault tolerance, performance optimization, and system architecture. The role also involves collaborating with customers and AI-native companies to solve complex workload-scaling challenges.

Develop and maintain Ray’s C++ backend for scalable, reliable distributed computing. Responsibilities include optimizing large-scale workloads, improving fault tolerance, developing open-source software, implementing architectural improvements, enhancing testing infrastructure, leading cross-team projects, mentoring engineers, and communicating technical work through talks, tutorials, and blog posts.

Own Anyscale’s compliance function, including SOC 2 and ISO 27001 audits, evidence collection, risk management, customer security diligence, contractual compliance obligations, and future certifications. Partner with security, engineering, IT, legal, sales, and external auditors to maintain audit-ready controls, improve evidence automation, and establish an enterprise-aligned compliance program.