We are seeking a highly experienced IoT Architect Lead Specialist to guide the design, development, integration, and optimization of IoT solutions across enterprise environments. The ideal candidate brings deep technical leadership, strong architectural vision, and hands-on experience in building scalable, secure IoT platforms. This role involves working closely with cross-functional engineering teams, stakeholders, and external partners to deliver reliable and innovative IoT solutions that support business goals.
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Lead end-to-end architecture design for large-scale IoT systems, including edge devices, connectivity layers, cloud platforms, and data pipelines.
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Define IoT solution blueprints, reference architectures, integration patterns, and technical standards.
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Collaborate with product, engineering, and business teams to identify requirements and translate them into technical solutions.
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Oversee implementation and integration of IoT platforms such as AWS IoT, Azure IoT Hub, Google Cloud IoT, or equivalent.
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Drive security architecture for authentication, encryption, device provisioning, and secure communication.
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Evaluate new IoT technologies, protocols, devices, and platforms to support product innovation.
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Provide technical leadership, mentoring, and architectural direction across engineering teams.
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Optimize performance, reliability, and scalability of IoT infrastructure and data management systems.
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Lead PoC initiatives, prototype development, system testing, and service deployments.
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Ensure compliance with regulatory standards, best practices, and enterprise security frameworks.
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Troubleshoot architecture and deployment issues and support continuous improvement.
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12+ years of experience in designing and implementing IoT platforms, distributed systems, or cloud-connected devices.
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Strong expertise with IoT protocols such as MQTT, CoAP, AMQP, BLE, Zigbee, LoRaWAN, RFID, or Modbus.
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Hands-on experience with cloud IoT services (AWS IoT Core, Azure IoT Hub, GCP IoT Core, or similar).
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Solid background in microservices architecture, API design, and message streaming platforms such as Kafka.
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Strong knowledge of embedded systems, edge computing, sensor networks, and real-time data processing.
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Proficiency with programming languages such as Python, C/C++, Go, Java, or Node.js.
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Experience with IoT security frameworks, device identity management, and secure firmware updates.
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Understanding of networking, wireless communication technologies, and device provisioning.
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Familiarity with data pipelines, analytics, time-series databases, and AI/ML integration.
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Proven leadership skills and ability to manage technical teams and solution delivery.
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Excellent communication and stakeholder management skills.