Backend Engineer focused on Node.js, distributed systems, and scalable backend architecture.
I build high-throughput APIs, event-driven systems, and realtime backend services.
Currently transitioning from enterprise backend development into modern Node.js backend engineering.
- Scalable backend systems
- Node.js architecture
- Distributed systems
- Event-driven microservices
- API design and performance optimization
Backend Node.js • Express • Fastify
Databases PostgreSQL • MongoDB • Redis
Messaging Kafka • RabbitMQ
Cloud & DevOps Docker • AWS • CI/CD
Tools Git • IntelliJ • VS Code
High-scale backend system designed to handle large traffic volumes.
Tech: Node.js • Redis • PostgreSQL • Docker
Concepts: Caching • Rate limiting • ID generation • Analytics pipeline
Horizontally scalable chat system using WebSockets.
Tech: Node.js • Socket.io • Redis • PostgreSQL
Concepts: Pub/Sub messaging • realtime communication • distributed state
Background processing system with scalable worker architecture.
Tech: Node.js • BullMQ • Redis • PostgreSQL
Concepts: Async job processing • retries • worker scaling
Microservices communicating asynchronously through events.
Tech: Node.js • Kafka / RabbitMQ • Docker
Concepts: Event streaming • service decoupling • async workflows
Software Engineer — Accenture
- Backend systems supporting 330M+ telecom users
- Optimized database queries improving performance 35–40%
- Reduced deployment time 2 hours → 25 minutes
- Designed architecture for multiple enterprise services
- Advanced Node.js architecture
- Distributed system design
- High-scale backend systems
- Streaming platforms and event pipelines
LinkedIn https://linkedin.com/in/uditmaherwal
Email uditmaherwal4@gmail.com