IoT Software Developer

Overview

Job Title: IoT Software Developer – Smart Parking System (ThingsBoard Expert)
Job Type: Full-Time
Location: WFH
Experience Level: Mid to Senior-Level

Job Overview:

We are looking for a skilled and motivated IoT Software Developer with in-depth experience using the ThingsBoard platform to lead the development of a cutting-edge smart parking system. The ideal candidate will play a key role in integrating advanced sensing technologies such as LiDAR and camera systems to enable real-time parking space detection, monitoring, and management. You will design robust software architectures and implement real-time data pipelines for seamless data acquisition, processing, and visualization.

This position offers the opportunity to work on a high-impact smart city solution, driving innovation in urban mobility and parking efficiency.

Key Responsibilities:

• Lead the end-to-end development of a smart parking IoT solution using ThingsBoard.
• Integrate advanced sensors (LiDAR, cameras, ultrasonic, etc.) for real-time parking space monitoring.
• Design and implement sensor data pipelines for processing and ingestion into ThingsBoard.
• Develop interactive dashboards and data visualization tools in ThingsBoard.
• Build and optimize features such as live parking monitoring, booking/reservation, and analytics.
• Ensure system reliability and scalability using best practices in IoT software architecture.
• Work with MQTT and other IoT protocols to ensure real-time communication and device management.
• Collaborate with cross-functional teams including hardware engineers, data scientists, and product managers.
• Write clear technical documentation and conduct code reviews and testing.

Required Skills & Qualifications:

• Proven experience with the ThingsBoard IoT platform (Community or Professional edition).
• Hands-on experience with sensor integration (especially LiDAR and cameras).
• Strong understanding of IoT protocols, especially MQTT, HTTP, and CoAP.
• Proficiency in one or more programming languages such as Python, Java, or Node.js.
• Experience with real-time systems, edge computing, and data stream processing.
• Familiarity with cloud platforms, Docker containers, and REST APIs.
• Experience in developing or contributing to smart city or mobility solutions is a strong plus.
• Bachelor's degree in Computer Science, Electrical Engineering, or related field.

Preferred Qualifications:

• Knowledge of computer vision or AI-based parking detection algorithms.
• Experience with NoSQL/SQL databases, time-series data, and alerting systems.
• Familiarity with edge devices, Raspberry Pi, or embedded Linux platforms.

Job Type: Full-time

Pay: ₹400,000.00 - ₹600,000.00 per year

Benefits:

• Work from home

Schedule:

• Day shift

Supplemental Pay:

• Overtime pay
• Performance bonus

Work Location: Remote