Software Engineer, Platform Infrastructure (Foundations)

Overview

Software Engineer on Anyscale's Infrastructure team, building the control plane and data plane that run Ray and Anyscale's cloud platform for distributed AI applications.

What you'll do

• Design, build, and scale services that orchestrate Ray clusters across cloud and on-prem environments, supporting both VM-based and Kubernetes-based deployments
• Optimize control plane components for large-scale, distributed AI/ML workloads
• Build intelligent scheduling and resource management systems for heterogeneous compute clusters
• Develop features to enhance the reliability, performance, scalability, and observability of Anyscale-managed Ray workloads
• Support and optimize accelerator integration (e.g., GPUs, TPUs)
• Handle container image management and dependency resolution for distributed workloads
• Participate in code reviews, design and architecture discussions
• Provide on-call support, working closely with customer and field teams to troubleshoot infrastructure issues
• Collaborate with leading distributed systems and machine learning experts

What you'll need

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• 3+ years of experience writing high-quality production code
• Hands-on experience building and maintaining highly available, scalable, and performant distributed systems
• Expertise in cloud-native technologies (AWS, Azure, GCP) and Kubernetes-based deployments
• Deep understanding of networking, security, and authentication mechanisms in cloud environments
• Familiarity with observability stacks (Prometheus, Grafana etc)
• Proficiency in Go and Python
• Knowledge of low-level operating system foundations (Linux kernel, file systems, containers)