Site Reliability Engineer, AI Platform

Job summary

Responsibilities

We are looking for a Site Reliability Engineer with strong production fundamentals who enjoys solving operational problems, automating repetitive work and progressively taking ownership of complex systems at scale.

• 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

What they're looking for

• Solid hands-on Kubernetes knowledge, including workloads, resource management, and production operations
• 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

Tech stack

• Kubernetes
• GCP
• AWS
• Azure
• Python