Site Reliability Engineer, AI Platform

📋 Description

• Build and operate production infrastructure supporting AI-related workloads and services
• Operate and improve highly available Kubernetes-based platforms
• Improve reliability through SLOs, observability, alerting and capacity management
• Investigate production issues and turn findings into durable fixes and improvements
• Work across networking, databases, compute and service infrastructure
• Improve CI/CD pipelines, deployment automation and developer experience

🎯 Requirements

• Solid hands-on Kubernetes knowledge, including workloads, resource management, and production
• Strong experience with Infrastructure as Code, and the lifecycle of cloud infrastructure
• Solid experience building and operating CI/CD pipelines and automated deployment workflows
• Hands-on experience with at least one major cloud provider: GCP, AWS or Azure
• Good understanding of networking, distributed systems and reliability engineering
• Experience with monitoring, observability and troubleshooting production systems