Reliability Engineer

We are at a critical inflection point. Our low-code platform is preparing for an immediate scale-up to 3,000,000 concurrent users. We currently operate on a GKE-based architecture with 78 microservices and a MongoDB Atlas backend. We need a Lead Site Reliability Engineer who can transform our current synchronous system into a high-concurrency, asynchronous engine capable of surviving massive traffic spikes without database or compute failure.

Responsibilities

● Decoupled Architecture: Transition synchronous API flows to Google Cloud Pub/Sub to act as a shock absorber for a MongoDB Atlas M60+ cluster.

● Database Guardrails: Implement and own the Speed Limit for our database. You will configure Subscriber-side Flow Control in Node.js and Kubernetes HPA to ensure we never exceed 10,000 IOPS or 32k connections.

● Resource Isolation: Isolate heavy Puppeteer/Chrome workloads from core platform services using Cloud Run or dedicated Spot VM node pool...