Node.js Backend Architecture & Distributed Systems
Designing high-throughput, fault-tolerant backend services in Node.js, Express, NestJS, and Python. Engineered for sub-100ms response times, race-condition mitigation, and resilient webhook orchestration.
Building for Predictable Scaling
As systems scale from thousands to millions of daily API transactions, small architectural oversights—unbounded database queries, blocking event loops, unmanaged worker queues—turn into catastrophic outages.
Having architected carrier-grade telecom backends handling over 100,000 active devices for Moolah Wireless, I implement proven patterns: BullMQ background queues with Redis key-locking, distributed rate-limiting, database connection pooling, and resilient third-party webhook handling.
Backend Capabilities I Deliver
Idempotent Webhook Processing
Zero-duplicate processing for Stripe, payment gateways, and carrier webhooks utilizing atomic Redis locks and dead-letter queue retry mechanisms.
BullMQ & Redis Background Workers
Decoupling heavy computing, email dispatch, PDF generation, and third-party API syncs from the HTTP request cycle for instant API responses.
Database Query Optimization
Profiling slow query execution plans (EXPLAIN ANALYZE), index tuning (B-Tree, GIN, HNSW), and connection pool sizing in PostgreSQL and MySQL.
AWS & Cloud Deployments
Docker containerization, AWS ECS/EC2 clusters, Elastic Load Balancing, RDS replication, and zero-downtime rolling deployment pipelines.
Backend Case Studies
Inspect high-concurrency backend systems I have architected:
Scaling or modernizing your backend architecture?
Let's review your system topology, query bottlenecks, and concurrency requirements.