Site Reliability Engineer (SRE) | AI Infrastructure | Kubernetes | San Francisco

Site Reliability Engineer (SRE)
Location: San Francisco, CA
Employment Type: Full-time
About the Role
. 1point3acresWe are looking for a Site Reliability Engineer (SRE) to support the deployment, operation, maintenance, monitoring and troubleshooting of large-scale Kubernetes-based AI training clusters.
You will be responsible for improving cluster reliability, automation, resource utilization and operational efficiency across AI infrastructure environments.
Responsibilities

• Deploy, operate and maintain Kubernetes-based AI training clusters.
• Design and develop monitoring and automation capabilities for cluster management platforms.
• Continuously improve cluster management and control capabilities.
• Troubleshoot issues related to containers, Linux operating systems, networks and storage.
• Analyze cluster performance and resource utilization.
• Manage business-level resource quotas and support capacity planning.
• Participate in on-call operations and promptly respond to infrastructure incidents and user issues.
• Perform root-cause analysis and implement solutions to improve system reliability.
• Collaborate with engineering and infrastructure teams to improve cluster performance and operational efficiency.

Requirements

• Bachelor's degree or above in Computer Science, Computer Engineering or a related field.
• 3+ years of industry experience in SRE, DevOps, Infrastructure Engineering, Platform Engineering or a related area.
• Strong Linux operation, maintenance, troubleshooting and performance analysis skills.
• Proficiency in Python, Go, Shell or similar programming/scripting languages.
• Strong understanding of Kubernetes architecture and hands-on experience with Kubernetes.
• Practical experience with Kubernetes CNI, CSI, Load Balancing, networking and storage.
• Strong troubleshooting and problem-solving skills.

Preferred Qualifications

• Experience building or optimizing large-scale AI/ML training clusters.
• Experience with GPU infrastructure, AI accelerators or HPC.
• Experience with Kubernetes scheduling and resource management.
• Experience with monitoring and observability systems.
• Experience with large-scale distributed systems.
• Strong communication and cross-functional collaboration skills.

Keywords: SRE · Kubernetes · Linux · Python · Go · CNI · CSI · GPU · AI Infrastructure · HPC · Cloud · Distributed Systems · DevOps · Platform Engineering

How to Apply
Please send your resume to jacky.guo@renruihr.com with the subject line “Site Reliability Engineer – San Francisco”.