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I will build a real time gps tracking and iot telemetry
Senior Nodejs Backend Engineer Real Time IoT, GPS Telemetry Systems
I build backend systems for real-time data at scale — Node.js/NestJS APIs, IoT/GPS telemetry, and AWS infrastructure.
6+ years experience. Currently running backend for a fleet management platform se...
About this Gig
Building a GPS tracking or IoT telemetry platform and need a real-time backend? This is my specialization.
I am a Senior Backend Engineer who built a production fleet management platform processing live data from thousands of Teltonika devices. My top result: reducing GPS telemetry processing times from 3,000ms to under 30ms (a 100x speedup) via Redis pub/sub and async Node.js refactoring.
If you are building vehicle tracking or asset monitoring systems, I can help.
WHAT I BUILD:
High-performance TCP/UDP socket servers
Teltonika AVL Codec 8/8E binary packet parsing
Real-time data pipelines (Redis pub/sub & caching)
Live tracking via WebSocket & Socket.IO
Journey boundary detection & trip segmentation
Geofencing engines with instant alerts
Fuel monitoring & sensor analytics
MongoDB time-series storage & aggregation
Scalable AWS deployments (EC2 + ElastiCache)
HARDWARE:
Teltonika (FMB/FMC series) expertise
NMEA & proprietary AVL protocol devices
Custom TCP/UDP binary parsing
IDEAL FOR:
Startups launching fleet tracking products
Companies modernizing their GPS backend
Please message me your hardware specs before ordering to confirm your project scope.
My Portfolio
FAQ
Which GPS hardware devices do you support?
I have the deepest experience with Teltonika devices (FMB series, FMC series) using AVL Codec 8 and Codec 8 Extended protocols. I also work with any device that communicates over TCP/UDP using standard NMEA sentences or a custom binary protocol — as long as you can share the protocol documentation.
How does your pipeline handle thousands of devices simultaneously?
The architecture I use — which I've proven in production — separates ingestion from processing using Redis pub/sub. The TCP server ingests raw packets and pushes them onto Redis queues instantly. Separate worker processes consume the queue and handle storage, analytics, and WebSocket broadcasting.
Can I see the live location of my vehicles in real time?
Yes — the Standard and Premium packages include a live WebSocket tracking layer using Socket.IO. This pushes location updates to connected browser clients the instant a new GPS packet is received and processed. The Basic package provides a REST API for polling location data if real-time push.
What is CRC validation and why does it matter?
CRC (Cyclic Redundancy Check) is a checksum built into GPS protocols like Teltonika AVL to verify that the binary packet was transmitted without corruption. Without CRC validation, corrupted packets can write bad location data to your database — silently
Can you add geofencing and alerts?
Yes — geofencing (zone entry/exit detection) and real-time alerts (speeding, ignition events, fuel threshold breaches) are included in the Premium package. For the Standard package, these can be added as extras. Message me with your specific alert requirements and I'll quote accordingly.
How do you store time-series GPS data efficiently?
I use MongoDB with time-series optimized schemas, compound indexing on device ID and timestamp, and TTL indexes for automatic data expiry on older records. For very high volume (millions of records per day), I recommend MongoDB Atlas with auto-scaling.
Can you integrate with Google Maps or mapping libraries?
The backend I deliver provides clean REST API endpoints and WebSocket events that any mapping library can consume — Google Maps, Mapbox, Leaflet, or OpenLayers. I don't build the frontend map UI in this gig, but the data layer will be structured for easy integration with any of these.
