Senior Site Reliability Engineer, Platform Infrastructure (Foundations)

About the role

Anyscale is looking for a Senior Site Reliability Engineer to join the Infrastructure team. The Infra team builds the scalable, secure, and robust backbone that enables Anyscale’s vision of making developing and running distributed AI applications in the cloud as easy as on your laptop.

Responsibilities

• 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
• 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

Requirements

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

Qualifications

• Experience with Kubernetes and container orchestration
• Understanding of distributed systems and machine learning concepts
• Experience with distributed computing and cloud infrastructure
• Strong problem-solving skills and ability to work independently and collaboratively

Skills

• Go programming language
• Python programming language
• Linux command line
• Kubernetes
• Networking and security
• Observability tools (Prometheus, Grafana)
• Distributed systems
• Machine learning

Benefits

• Competitive salary
• Flexible work schedule
• Health insurance
• Retirement plans
• Professional development opportunities
• Work-life balance

Pay

• $100K - $150K annually

Schedule

• Full-time

Benefits

• Health insurance
• Retirement plans
• Professional development opportunities
• Work-life balance

Company Culture

• Remote work options
• Regular team-building activities
• Flexible vacation policy
• Open communication channels

Equal Opportunity Employer

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. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.