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About the role
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 .