E-Commerce Platform with Real-Time Tracking
High-concurrency Node.js retail platform with real-time tracking and Zendesk support
Architected a high-concurrency retail platform featuring distributed checkout, real-time inventory locking, and live shipment tracking. The system normalizes third-party carrier webhook streams, delivers live status updates via WebSockets, and synchronizes real-time order context directly into Zendesk for customer support operations.
Engineering team structure and leadership.
How the engineering organization was structured, staffed across disciplines, and directed through delivery.
Node.js microservices, PostgreSQL transactional orders, and Redis/BullMQ distributed locking
Consumer shopping application and live interactive shipment tracking maps
Responsive web checkout, product catalog, and real-time WebSocket client updates
End-to-end checkout flow optimization, design tokens, and live delivery status UI
AWS ECS cluster, Redis cluster management, Kafka brokers, and automated CI/CD pipelines
Distributed load testing, payment failure simulations, and order state transition testing
Carrier API mapping, logistics webhook specifications, and Zendesk support workflow design
Led backend architecture and guided a 25-person multidisciplinary team across backend, Flutter mobile, web, DevOps, and QA
Architected distributed inventory locking with Redis and BullMQ, eliminating race conditions and double-selling during flash sales
Engineered the carrier webhook ingestion pipeline with Apache Kafka, normalizing erratic logistics data into unified event streams
Built a low-latency WebSocket layer dispatching real-time parcel tracking events directly to consumer web and mobile apps
Integrated Zendesk REST APIs with real-time order contexts, equipping support agents with live delivery milestones and courier telemetry
Measured operational outcomes.
Concrete reliability benchmarks and performance metrics delivered to production.
Inventory Accuracy
Tracking Latency
Support Sync
Platform Uptime
Architectural decisions & implementation.
Target Architecture & Implementation
How the system was designed, structured, and deployed
Restructured the backend into a modular service topology using Node.js and Express. Implemented distributed inventory locks using Redis and BullMQ to guarantee serializable order reservations before database commit. Designed an ingestion pipeline using Apache Kafka to buffer and normalize carrier tracking webhooks, broadcasting live status changes to client apps via WebSockets and push notifications. Built a bidirectional Zendesk integration that automatically injects real-time shipment milestones, order items, and courier notes into support agent workspaces.
System Component & Infrastructure Ledger
Detailed breakdown of runtime dependencies, protocols, and architectural roles
Organized in a modular monorepo
ACID transactional order and payment processing
Distributed locks, rate limiting, and job queues
Resilient event streaming and webhook buffering
Low-latency client status updates
Secure storage of customer invoices and packing slips
Live support agent context
IOS and Android
Containerized service deployments
Delivery push notifications
"The architecture handled our biggest sale days without a single double-allocation. Integrating real-time tracking directly into our Zendesk setup eliminated the blind spots our customer support team dealt with for months."
High-Growth Retail & Logistics Platform