IoT Systems Engineer (Medical Device)

As an Automation Engineer at our company, you will play a crucial role in developing and implementing end-to-end Internet of Things (IoT) solutions within the diagnostic technology ecosystem. Your responsibilities will include designing comprehensive IoT solutions, selecting and integrating appropriate IoT platforms, developing secure system architectures, collaborating with cross-functional teams, and ensuring compliance with industry regulations. Key Responsibilities: - Design comprehensive IoT solutions encompassing hardware, embedded software, and cloud components. - Select and integrate appropriate IoT platforms such as AWS IoT, Azure IoT, and Google Cloud IoT. - Develop scalable and secure system architectures while collaborating with hardware, software, and product teams. - Ensure adherence to data privacy and cybersecurity standards throughout the project lifecycle. - Develop firmware for microcontrollers, gateways, and sensor modules, implementing secure communication protocols. - Design and prototype PCBs and edge devices with optimized power and connectivity features. - Coordinate with manufacturers for hardware production and testing, ensuring compliance with industry regulations. - Build and optimize data pipelines for IoT sensor data, including real-time analytics and support for machine learning models. - Develop and maintain backend services for data processing, system control, and database optimization. - Create data dashboards using tools like Grafana, Power BI, or Tableau for effective data visualization. Qualifications Required: - Strong understanding of IoT protocols such as MQTT, CoAP, and HTTP. - Experience with embedded systems and wireless technologies like BLE, LoRa, and Zigbee. - Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud. - Proficiency in programming languages including Python, C/C++, and Java. - Knowledge of cybersecurity practices in IoT environments and cloud-based data services. - Familiarity with database management, real-time data processing, and machine learning applications in predictive maintenance for IoT. (Note: No additional details about the company were provided in the job description.),