Principal Observability & Cloud Platform Engineer Most observability engineers run someone else's stack. This role is for the person who builds it. Our client is re-architecting observability and cloud infrastructure at a scale very few engineers ever touch: a 3,000-node Kubernetes estate, 50TB of logs a day (around 600k logs/second) and up to 80 million active time-series, running multi-region and multi-cloud across AWS and GCP. You'll own the architecture: metrics, logs, traces, telemetry pipelines, service mesh and developer experience for thousands of services and millions of devices. You'll overhaul core open-source components, storage layers, query paths for performance, cost and reliability, and push improvements back upstream to CNCF projects. This is hands-on architecture, not stack-sitting. What you'll need: Strong, hands-on Go in production, plus Python or Shell. Real scale: PB-level ingestion and hundreds of millions of active series, and you built or scaled it, not just w...