Site Reliability Engineer

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 pools with taints/tolerations.
  
• Observability & Alerts: Build a "Nerve Center" using Cloud Monitoring. You must track message age, disk throughput, and connection saturation with millisecond precision.
  
• Platform Hardening: Work with our 78 microservices to optimize their container footprints using Vertical Pod Autoscaling (VPA) and efficient bin-packing.

Requirements:

• GCP Mastery: Deep experience with GKE, Pub/Sub, and Cloud Run. You should know how to request and manage high-scale CPU quotas.
  
• Advanced Node.js: You must understand how to manage the event loop under heavy load and how to properly ack/nack messages in a distributed queue.
  
• MongoDB at Scale: Experience with Atlas M60/M80 tiers. You must know how to diagnose Index Resident Memory issues and manage connection pooling at the platform level.
  
• The "SRE Mindset": You believe that a "slow" system is better than a "broken" one. You have experience implementing backpressure and circuit breakers.