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