Anyscale

Partner with sophisticated AI organizations to design, deploy, and operate production AI platforms using Ray, Anyscale, Kubernetes, and public cloud infrastructure. This hands-on, customer-facing role combines cloud infrastructure engineering, distributed systems troubleshooting, and technical advisory work.

Own and strengthen the security of Anyscale’s production and cloud infrastructure across AWS, Azure, and Kubernetes. This hands-on senior role leads cloud security posture management, runtime protection, network segmentation, tenant isolation, and secure infrastructure architecture.

Anyscale is seeking a Senior Product Security Engineer to own and scale its secure software development lifecycle across product engineering. The role combines product security, vulnerability management, cloud and Kubernetes security, and securing AI-enabled development workflows.

Staff Software Engineer leading the technical vision and architectural evolution of Anyscale’s platform infrastructure for large-scale distributed AI workloads. The role focuses on Kubernetes-based cloud infrastructure, control and data planes, reliability, scalability, and technical leadership across teams.

Lead the evolution of Ray Core as a Staff Software Engineer, owning major technical areas and building foundational distributed-systems primitives for demanding production workloads. You’ll remain hands-on while setting architecture, driving complex projects, and mentoring engineers.

Build and scale Ray Data, a Python-native distributed data processing engine powering large-scale AI training and inference workloads. This staff-level role focuses on distributed systems, performance, fault tolerance, and architectural decisions for multimodal and structured data.

Build and improve Ray’s C++ distributed-systems backend, focusing on performance, reliability, scalability, and fault tolerance. The role combines hands-on systems software development with technical leadership, mentoring, and open-source communication.

Anyscale is hiring a Software Engineer for its ML Developer Experience team to build developer tooling, APIs, platform services, and workflows that make distributed AI workloads easier to develop, operate, and scale on Ray. This high-impact individual-contributor role spans the full machine learning and developer experience lifecycles.