Consultant - ioT

Job Description

Job Description: IoT Consultant (Mid-Level)

Experience Level: 3–5 Years

Role Overview

We are looking for a proactive and technically-grounded IoT Consultant to bridge the gap between complex hardware ecosystems and business intelligence. With 3 to 5 years of experience, you've moved past the tinkering phase and understand how to scale IoT deployments from prototype to production. You will be responsible for designing end-to-end IoT architectures, selecting the right connectivity protocols, and ensuring seamless data integration into cloud platforms.

Key Responsibilities

Solution Architecture: Design and implement end-to-end IoT solutions, including edge device selection, gateway configuration, and cloud connectivity.

Protocol Expertise: Implement and optimize communication protocols such as MQTT, CoAP, HTTP/REST, and LoRaWAN based on specific project constraints (latency, power, bandwidth).

Cloud Integration: Develop and manage IoT hubs and data pipelines on platforms like AWS IoT Core, Azure IoT Hub, or Google Cloud IoT.

Security First: Implement robust security measures, including device identity management, X.509 certificate handling, and secure boot processes.

Stakeholder Liaison: Translate technical sensor-speak into actionable business insights for clients and internal leadership.

Troubleshooting: Conduct root-cause analysis for connectivity drops, latency issues, and hardware-software interface bugs.

Technical Requirements

Foundational Knowledge: Deep understanding of the IoT World Forum Reference Model (7-Layer) or similar architectural frameworks.

Programming: Proficiency in Python, C/C++, or Node.js for edge logic and cloud functions.

Hardware Familiarity: Experience working with microcontrollers (ESP32, ARM Cortex-M) and Single Board Computers (Raspberry Pi, Jetson Nano).

Data Management: Knowledge of Time-Series Databases (e.g., InfluxDB, TimescaleDB) and real-time data processing.

Connectivity: Hands-on experience with wireless standards (Wi-Fi, BLE, Zigbee) and cellular IoT (NB-IoT/LTE-M).

Preferred Qualifications

Edge AI: Experience deploying basic Machine Learning models at the edge (TinyML).

Certifications: AWS Certified Data Engineer or Azure IoT Developer Specialty.

DevOps for IoT: Familiarity with Over-the-Air (OTA) update strategies and containerization (Docker) at the edge.

Soft Skills

Analytical Wit: You don't just find bugs; you find the pattern behind the bugs.

Adaptability: The IoT lanadscape changes weekly; you should be someone who enjoys continuous learning.

Communication: Ability to explain why a specific hardware choice impacts the long-term ROI of a project.

Skill Set

IoT Architecture Design, Communication Protocols (MQTT/CoAP/LoRaWAN), Cloud Platform Integration (AWS/Azure IoT), Embedded Programming (Python/C++), IoT Security & Device Management

If Intrested. Please submit your CV to [Confidential Information] or share it via WhatsApp at 8827565832

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