Senior Site Reliability Engineer, AI Platform

Job summary

Responsibilities

We are looking for a Senior Site Reliability Engineer who can independently own complex production systems, drive technical decisions across teams, and help shape reliable and efficient infrastructure at scale.

• Own and evolve production infrastructure supporting AI-related workloads and services at scale
• Design and operate highly available Kubernetes-based platforms
• Drive reliability through SLOs, observability, capacity planning and production guardrails
• Lead complex production investigations and turn findings into durable architectural improvements
• Improve shared infrastructure across networking, databases, service communication and compute

What they're looking for

• Strong hands-on production experience with at least one major cloud provider: GCP, AWS or Azure
• Strong experience designing and operating Kubernetes and cloud-native production systems at scale
• Strong understanding of distributed systems, networking and reliability engineering
• Experience operating business-critical systems with strong availability, scalability and operational requirements
• Ability to independently own ambiguous, cross-team technical problems and drive them to measurable outcomes

Tech stack

• Kubernetes
• GCP
• AWS
• Azure
• Python