Senior Site Reliability Engineer, AI Platform

📋 Description

• 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
• Build better CI/CD, progressive delivery, automation and developer experience

🎯 Requirements

• 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
• Ability to independently own ambiguous, cross-team technical problems and drive them to measurable
• Strong automation mindset and ability to balance reliability, engineering velocity and cost

🎁 Benefits

• Flexible workplace model with options for fully remote or hybrid-remote work
• Global presence with offices in Paris, NYC, London, Sydney and Bucharest