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Tier-1 employer and broad skillset increase competition, while niche senior IoT focus reduces applicant density.
Requires embedded firmware, connectivity, and cloud IoT expertise, making cross-industry fit highly domain-specific.
No explicit years but mandatory embedded, cloud, and IoT platform experience implies moderate filtering.
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Define and develop end-to-end IoT architectures including embedded devices, connectivity, and cloud platforms ensuring scalable, secure, and high-performance solutions.
Architect integration strategies and communication interfaces across subsystems, focusing on device provisioning, authentication, and data ingestion with major cloud IoT platforms (AWS IoT, Azure IoT Hub, Google Cloud IoT Core).
Lead architecture/design reviews, drive innovative initiatives and proof-of-concepts, mentor teams on best practices, and support debugging of complex system-level issues.
Proven experience designing and deploying complex end-to-end IoT architectures integrating embedded devices with cloud platforms.
Hands-on experience with major cloud IoT platforms (AWS IoT, Azure IoT Hub, Google Cloud IoT Core).
Solid understanding of wireless connectivity technologies and system-level performance tradeoffs (memory, power, cost).
Educational background: BE/ME in electronics or related field.
Experienced technical leader capable of bridging embedded systems and cloud platforms with strong system-level problem-solving skills.
Strategic thinker familiar with automation frameworks, CI/CD pipelines, and DevOps practices specific to embedded systems.
Engaged with emerging technologies (AI/ML, GenAI) and industry trends to improve embedded platform engineering and automation.