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