Full Stack / Back Developer

Role Requirement

We are looking for an experienced backend engineer with a diverse technical background someone who isn’t tied to a single stack but can move fluidly across technologies to solve real engineering problems. You will work on systems that power our transportation platform, including real-time GPS tracking and video telematics, where reliability, scale, and low latency genuinely matter.

Someone technology-agnostic in mindset comfortable working across Java, Node.js, and Python ecosystems, confident with both relational and non-relational data stores, and more interested in solving the right problem than defending a favorite stack.

Key Responsibilities

Design, build, and maintain scalable backend services using Java Spring Boot, Node.js, and FastAPI (Python)

• Architect and implement microservices, ensuring clean service boundaries, resilience, and maintainability
• Build and maintain the FastAPI service using async SQLAlchemy 2.0, Pydantic v2 models, Alembic migrations, and strict typing (mypy –strict)
• Build and optimize TCP-based communication for real-time data ingestion (e.g., GPS device pings, telemetry streams)
• Design and manage event-driven and message-based communication using MQTT and RabbitMQ
• Design and manage data layers across Redis, SQL, PostgreSQL (with PostGIS extension), and MongoDB, selecting the right store for the right workload
• Work on distributed systems challenges data consistency, fault tolerance, message queuing, and horizontal scaling
• Profile and optimize system performance to handle high-throughput, low-latency data from vehicles and devices in the field
• Debug complex, production-grade issues across services, often under real-time operational constraints
• Collaborate with cross-functional teams (product, DevOps, data) to design end-to-end solutions

Required Skills & Experience

• 5 - 7 years of hands-on backend software engineering experience
• Strong proficiency & understandings in Java (Spring Boot), Node.js, Python (FastAPI).
• Practical experience with TCP/socket programming, especially for device/data streaming use cases

Databases:

• Redis caching, pub/sub, and session/state management

• SQL / PostgreSQL — schema design, query optimization, indexing

• PostgreSQL with PostGIS extension — geospatial data modeling and queries (points, routes, geofencing)
• MongoDB — document modeling for semi-structured/telemetry data

FastAPI Service Expertise:

• Async SQLAlchemy 2.0 for non-blocking database access
• Pydantic v2 models for request/response validation and settings management
• Alembic for database migrations and schema versioning
• Strict static typing across the codebase, validated with mypy –strict

Messaging & Real-Time Communication:

• MQTT — lightweight pub/sub messaging for device/IoT telemetry
• RabbitMQ — reliable async messaging and task/event queuing between services

Additional Requirements:

• Demonstrated experience designing scalable, efficient, high-availability systems
• Strong problem-solving and debugging skills, including in production/live environments
• Exposure to distributed systems concepts (consistency, partitioning, message queues, caching strategies)
• Experience with performance optimization — profiling, load testing, latency reduction

Good to Have:

• Experience in the transportation, IoT, fleet management, or telematics domain
• Familiarity with GPS data processing or video streaming pipelines
• Exposure to cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes)
• Understanding of real-time data pipelines and event-driven architecture