Automation Engineer

Job Title: Automation Engineer

Location: Parwanoo, Himachal Pradesh, India

Employment Type: Full-Time

Travel Requirement: Up to 10%

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.

• 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.

• 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.