Lead IoT Engineer

Connected Systems Architecture

• Design and govern enterprise-scale IoT and edge computing architectures.
• Define end-to-end solutions across device, edge, network, and cloud layers.
• Drive the evolution of traditional networks into software-defined, intelligent platforms.
• Ensure seamless integration between connected devices and enterprise platforms.

Edge Intelligence & Data Platforms

• Build real-time data collection and processing solutions at the edge.
• Design telemetry frameworks and scalable data pipelines.
• Implement data streaming and platform integration capabilities.
• Enable faster decision-making through distributed edge intelligence.

Automation & Device Lifecycle Management

• Develop automation strategies for device provisioning, onboarding, monitoring, and lifecycle management.
• Support firmware deployment and device management processes.
• Improve operational efficiency through automation and modern engineering practices.

Security, Risk & Emerging Technologies

• Ensure secure, resilient, and compliant IoT ecosystems.
• Implement governance, security controls, and risk management practices.
• Evaluate and leverage AI-enabled capabilities for analytics and operational improvement.
• Promote best practices across architecture, development, and deployment processes.

Technical Leadership

• Partner with cross-functional engineering teams to deliver scalable solutions.
• Lead architecture reviews and technical decision-making.
• Mentor engineers and promote modern engineering methodologies.
• Drive innovation across connected systems and edge technologies.

The ideal candidate has deep expertise in IoT architecture, automation, cloud platforms, APIs, and Python development, with a proven track record delivering large-scale connected systems. This role requires a strong technical leader capable of defining architecture standards, driving platform modernization, and mentoring engineering teams while ensuring security, compliance, and operational excellence., * Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field, or equivalent practical experience.

• 8+ years of experience designing and implementing IoT, edge computing, or connected systems solutions.
• Experience architecting solutions across devices, edge platforms, networks, and cloud environments.
• Strong programming experience with Python.
• Experience building API-driven integrations and distributed systems.
• Hands-on experience with real-time telemetry, data collection, and data pipeline solutions.
• Experience automating device provisioning, monitoring, and lifecycle management.
• Strong understanding of cloud platforms and modern architecture patterns., * Experience supporting large-scale IoT deployments.
• Experience with AI/ML solutions and intelligent automation.
• Knowledge of streaming technologies and event-driven architectures.
• Experience with container platforms such as Docker and Kubernetes.
• Industry certifications in cloud, network, or IoT technologies.
• Experience with software-defined networking and infrastructure automation.
• Strong understanding of enterprise security, compliance, and risk management frameworks.

Key Technologies

• IoT Platforms
• Edge Computing
• Python
• REST APIs
• Cloud Platforms (AWS, Azure, Google Cloud Platform)
• Telemetry & Data Pipelines
• Device Provisioning & Lifecycle Management
• Streaming Technologies
• Docker & Kubernetes
• AI/ML Solutions
• Automation Frameworks