Job Title: Automation Engineer Location: Parwanoo, Himachal Pradesh, India Experience- 6+years Employment Type: Full-Time Travel Requirement: Up to 10% Position Overview We are seeking a highly competent and innovative Automation Engineer to support the development and implementation of end-to-end Internet of Things (IoT) solutions within our diagnostic technology ecosystem. The successful candidate will be responsible for system design, firmware development, cloud integration, and performance optimization of IoT-enabled medical devices. Key Responsibilities Design comprehensive IoT solutions, including hardware, embedded software, and cloud components. Select and integrate appropriate IoT platforms (AWS IoT, Azure IoT, Google Cloud IoT). Develop scalable and secure system architectures. Collaborate with hardware, software, and product teams to execute IoT projects. Ensure adherence to data privacy and cybersecurity standards. Develop firmware for microcontrollers, gateways, and sensor modules. Implement secure and efficient communication protocols (MQTT, WebSockets, REST APIs). Design and prototype PCBs and edge devices with optimized power and connectivity features. Coordinate with manufacturers for hardware production and testing. Ensure compliance with industry regulations (e.g., FCC, CE). Build and optimize data pipelines for IoT sensor data, including real-time analytics. Implement and support machine learning models for predictive diagnostics. Develop and maintain backend services for data processing and system control. Optimize databases (SQL, NoSQL, InfluxDB) and create data dashboards using tools such as Grafana, Power BI, or Tableau. Required Skills and Qualifications Strong understanding of IoT protocols (MQTT, CoAP, HTTP). Experience with embedded systems and wireless technologies (BLE, LoRa, Zigbee). Hands-on experience with cloud platforms including AWS, Azure, or Google Cloud. Proficiency in programming languages such as Python, C/C++, and Java. Knowledge of cybersecurity practices in IoT environments. Experience with cloud-based data services (e.g., AWS IoT Analytics, Azure Stream Analytics). Familiarity with database management and real-time data processing. Understanding of machine learning applications in IoT-based predictive maintenance. Show more Show less