Senior Backend Engineer
for Hire
Node.js & FastAPI · Django & Python · PostgreSQL · Microservices
I'm Ramesh Kumar Das. Over 6+ years I've designed and run APIs, services, and data layers that have to stay fast under real traffic. Most of that work is in Node.js, FastAPI, Django, and PostgreSQL — auth, queues, caching, and the deploy path included. On past systems I've seen about 35% faster APIs, 30% better query times, 25% lower server load, and 40% quicker deploys after tuning. If you need someone to own the backend end to end, let's talk.
Backend Engineering Stack
Tools I use for APIs, data stores, async work, and deploys
Backend Engineering Services
Concrete backend work I take on for product and platform teams
⚡ High-Performance REST API Development
REST APIs in Node.js, FastAPI, or Django — versioning, rate limits, docs, and tuning for latency and throughput under real load.
🏗️ Microservices Architecture
Split a monolith or start with services that deploy on their own. Gateways, service calls, Kafka-style messaging, and Docker orchestration where it earns its keep.
🗄️ Database Design & Optimization
PostgreSQL and MongoDB schemas, indexes, pooling, Redis caching, and migrations. Past tuning work often landed around 25–30% faster queries.
🔒 Backend Security Engineering
JWT and OAuth 2.0, RBAC, CSRF protection, safer queries, rate limits, and solid session handling — the basics that stop common OWASP failures.
⏱️ Async & Background Processing
Celery with Redis, WebSockets, async Python or Node, and event-driven flows so heavy jobs don't block the request path.
☁️ Backend Deployment & DevOps
Docker, Compose, GitHub Actions CI/CD, AWS (EC2, S3, Lambda), Nginx, and Sentry for production monitoring.
Work Experience
Where I've owned backend systems for live products over 6+ years
WinstaAI Backend Infrastructure (Kuwait)
I own the backend for a live AI SaaS: services, async jobs, and third-party integrations customers hit every day.
- Built a FastAPI + Django service layer with async workflows, REST APIs, and event-driven queues
- Shipped APIs under real traffic with JWT, RBAC, rate limits, and Stripe / PayPal payments
- Designed PostgreSQL schemas for complex relational data and kept queries under control
- Released on AWS + Docker with CI/CD, Nginx, and Sentry monitoring
Dibbly AI & Paperport (India)
- Built backends in Node.js, Express, FastAPI, and Django — about 35% faster API responses after tuning
- Moved parts of the stack into services so modules could scale and ship independently
- Tuned PostgreSQL and MySQL with indexes and query work — roughly 30% faster execution
- Cut deploy time by ~40% with Docker and CI/CD
- Added WebSockets + Redis for live delivery — about 25% better data path performance
- Ran Celery + Redis queues for heavy background jobs
Khantailor eCommerce & PathHub Medical Platform (India)
- Maintained REST APIs in Node, Express, and Django across several business modules
- Designed MySQL / PostgreSQL layouts — about 25% better query performance after indexing
- Implemented JWT and OAuth 2.0 with careful session handling for a HIPAA-minded medical product
- Cut API latency by about 20–30% with refactoring, query work, and Redis caching
Frequently Asked Questions
Questions I get from engineering managers and CTOs
Get in Touch
Backend roles, API contracts, and architecture consulting — remote worldwide