Anyscale

Design, build, and improve Ray Data systems with a focus on performance, scalability, and reliability.Design and optimize distributed execution across data-pipeline stages and heterogeneous environments.Build data loading and processing solutions for production training and inference workloads.Solve problems involving scheduling, resource management, data partitioning, fault toleran

Develop high-quality open-source software for Ray’s distributed-programming platform.Implement and evaluate architectural improvements to the Ray Core backend.Optimize Ray performance for large-scale workloads and improve reliability, scalability, and fault tolerance.Improve stability, stress-testing infrastructure, and the software testing and release process.Lead cross-team projec

Build developer tooling and MLOps capabilities on Ray for developers and coding agents.Develop CLI, SDK, API, and MCP surfaces with self-discovery, structured errors, dry-run support, and consistent platform behavior.Improve Anyscale Workspaces workflows covering environments, dependencies, images, authentication, workload submission, and debugging.Build tools for data preparation,

Own and operate a scalable secure software development lifecycle covering threat modeling, security requirements, secure design practices, and scanning.Partner with engineering on security features and secure-by-design architecture from initial design through implementation.Review existing systems and new initiatives and convert findings into prioritized, actionable work.Own vulnera

Own the security posture of production and cloud infrastructure across AWS and Azure, including hardening, network segmentation, and tenant isolation.Own runtime security coverage across Kubernetes environments from deployment through anomalous-activity detection.Partner with engineering on secure infrastructure architecture and production environment design.Manage cloud security po

Improve Ray Data performance for multimodal batch inference use cases.Ensure efficient scaling across different stages of data pipelines in heterogeneous environments.Build data-loading solutions for production training workloads.Improve stability and fault tolerance at high scale.Work with customers and AI-native companies to scale their AI workloads.Develop, maintain, optimize, an