Koolboks makes refrigeration accessible and affordable to all. Our solar-powered freezers, equipped with Pay-As-You-Go technology and offered through an innovative Cooling-as-a-Service model, enable eco-friendly and accessible refrigeration to everyone who needs it. Life is kool!
About the Role
- We are looking for an IoT Engineer to design, develop, and maintain Internet of Things (IoT) solutions that connect devices, sensors, and systems. You’ll work across hardware, firmware, cloud platforms, and data pipelines to build secure, scalable, and reliable IoT products.
Key Responsibilities
- Design and develop end-to-end IoT solutions (device → gateway → cloud → application)
- Develop and maintain firmware for IoT devices (MCUs, sensors, actuators)
- Integrate devices with cloud platforms (AWS IoT, Azure IoT Hub, Google Cloud IoT, etc.)
- Implement communication protocols such as MQTT, HTTP/HTTPS, CoAP, BLE, Zigbee, or LoRaWAN
- Ensure device security, authentication, encryption, and OTA updates
- Collect, process, and analyze device data for monitoring and insights
- Troubleshoot hardware, firmware, and network issues
- Collaborate with hardware, software, and data teams to deliver solutions
- Create technical documentation and system diagrams
Required Skills & Qualifications
- Bachelor’s degree in Computer Science, Electronics, Electrical Engineering, or related field
- Experience with embedded systems and microcontrollers (ESP32, STM32, Arduino, Raspberry Pi, etc.)
- Strong programming skills in C/C++, Python, or Java
- Hands-on experience with IoT communication protocols (MQTT, HTTP, BLE, etc.)
- Experience with cloud services and REST APIs
- Understanding of networking concepts (TCP/IP, Wi-Fi, cellular, LPWAN)
- Familiarity with Linux-based systems
- Knowledge of security best practices for IoT systems
Preferred / Nice-to-Have Skills
- Experience with real-time operating systems (FreeRTOS, Zephyr)
- Knowledge of data analytics, dashboards, or visualization tools
- Experience with DevOps, CI/CD, or containerization (Docker)
- Exposure to edge computing and AI/ML at the edge
- Industry experience (smart home, industrial IoT, healthcare, automotive, etc.)
Method of Application
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