Software Engineer, Infrastructure

• 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 to push the boundaries of AI infrastructure

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

• 3+ years of experience writing high-quality production code

• Hands-on experience in building and maintaining highly available, scalable, and performant distributed system

• Expertise in cloud-native technologies (AWS, Azure, GCP) and Kubernetes-based deployments

• Deep understanding of networking, security, and authentication mechanisms in cloud environment

• Familiarity with observability stacks (Prometheus, Grafana etc)

• Proficiency in Go and Python

• Knowledge of low-level operating system foundations (Linux kernel, file systems, containers)

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. 

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