Software Engineer Platform Infrastructure Foundations

You will design, build, and scale services that orchestrate Ray clusters across cloud and on-premises environments. You will optimize control-plane components, create scheduling and resource-management systems, improve workload reliability and observability, support accelerator integration, and troubleshoot infrastructure issues.

Responsibilities

• Design, build, and scale services that orchestrate Ray clusters
• Optimize control-plane components for distributed AI and ML workloads
• Build scheduling and resource-management systems for heterogeneous compute clusters
• Improve workload reliability, performance, scalability, and observability
• Support accelerator integration
• Manage container images and dependencies for distributed workloads
• Participate in code reviews and architecture discussions
• Provide on-call support and troubleshoot infrastructure issues

Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• 3+ years of experience writing production code
• Experience building highly available, scalable, and performant distributed systems
• Expertise in AWS, Azure, GCP, and Kubernetes deployments
• Understanding of cloud networking, security, and authentication
• Familiarity with Prometheus and Grafana
• Proficiency in Go and Python
• Knowledge of Linux kernel, file systems, and containers