Job Summary :
We are looking for an experienced and innovative IoT Solutions Architect 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.
Key Responsibilities :
- Design and architect IoT solutions across device, network, cloud, and application layers.
- Define technical standards and architecture for IoT projects in collaboration with stakeholders.
- Select appropriate hardware, sensors, communication protocols (e.g., MQTT, CoAP, BLE, LoRaWAN), and cloud platforms (e.g., AWS IoT, Azure IoT, Google Cloud IoT).
- Oversee integration of embedded systems with cloud services, analytics platforms, and enterprise systems.
- Lead POCs (Proof of Concepts) and pilot deployments to validate technology choices.
- 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.
Stay up-to-date on the latest trends in IoT, edge computing, and emerging standards.Provide technical leadership, mentorship, and documentation throughout the development Skills & Qualifications :Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field.5+ years of experience in solution architecture, with at least 23 years in IoT-specific projects.Strong knowledge of embedded systems, microcontrollers (e.g., STM32, ESP32), and real-time operating systems (RTOS).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).Solid understanding of security best practices for IoT systems (encryption, authentication, OTA updates).Familiarity with edge computing and fog architectures.Experience with data ingestion, storage, and analytics pipelines for IoT data.Excellent communication skills to explain complex technical concepts to non-technical Qualifications :Certifications in AWS, Azure, or Google Cloud IoT services.Experience with AI / ML integration in IoT use cases.Knowledge of industrial protocols like Modbus, OPC-UA, BACnet.Hands-on experience with digital twin technologies.Prior experience with Smart Home, Smart Manufacturing, or Connected Health applications.(ref : hirist.tech)