Chief IoT Technology Strategist

18 hours ago

Chennai, Tamil Nadu, India beBeeIot Full time ₹ 21,99,421 - ₹ 24,49,637
IoT Solutions Architect\

Our organization seeks an experienced and innovative professional to lead the design and deployment of end-to-end Internet of Things (IoT) solutions. In this role, you will define system architecture, select appropriate technologies, and guide cross-functional teams through the development of scalable, secure, and cost-effective IoT systems across devices, connectivity, platforms, and data layers.

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This includes designing and architecting IoT solutions across device, network, cloud, and application layers, defining technical standards and architecture for IoT projects in collaboration with stakeholders, and selecting appropriate hardware, sensors, communication protocols (e.g., MQTT, CoAP, BLE, LoRaWAN), and cloud platforms (e.g., AWS IoT, Azure IoT, Google Cloud IoT).

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You will oversee integration of embedded systems with cloud services, analytics platforms, and enterprise systems, leading POCs (Proof of Concepts) and pilot deployments to validate technology choices. Additionally, you will ensure security, scalability, reliability, and maintainability of IoT systems, collaborate with software developers, hardware engineers, data scientists, and product managers to align on architecture and delivery goals, and stay up-to-date on the latest trends in IoT, edge computing, and emerging standards.

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A strong background in solution architecture is required, with at least 5 years of experience in IoT-specific projects. You should have a solid understanding of embedded systems, microcontrollers (e.g., STM32, ESP32), and real-time operating systems (RTOS), as well as experience with IoT communication protocols (MQTT, HTTP, CoAP, Zigbee, NB-IoT, etc.). Proficiency in cloud-based IoT platforms (e.g., AWS IoT Core, Azure IoT Hub, GCP IoT Core) is also necessary.

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Solid knowledge of security best practices for IoT systems (encryption, authentication, OTA updates) and familiarity with edge computing and fog architectures are essential. Experience with data ingestion, storage, and analytics pipelines for IoT data, as well as excellent communication skills to explain complex technical concepts to non-technical audiences, are also highly valued.

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Certifications in AWS, Azure, or Google Cloud IoT services, experience with AI/ML integration in IoT use cases, and knowledge of industrial protocols like Modbus, OPC-UA, BACnet are desirable. Prior experience with digital twin technologies and hands-on experience with Smart Home, Smart Manufacturing, or Connected Health applications are also beneficial.

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