IoT System Engineer & Developer

Role Overview:

• We are seeking a versatile IoT System Engineer & Developer to design, build, and maintain the end-to-end infrastructure of our connected solutions.
• You will be responsible for developing the "glue" that connects physical hardware to the cloud, ensuring low-latency communication, robust device management, and secure data transmission.
• This role is 50% system architecture and 50% hands-on full-stack development.

Key Responsibilities

• End-to-End System Design: Edge-to-Cloud Architecture: Design the communication pathways between sensors, edge gateways, and cloud platforms (AWS IoT Core, Azure IoT Hub, or private MQTT brokers).
• Protocol Implementation: Develop and optimize data transmission using MQTT, CoAP, HTTP/2, and gRPC while considering bandwidth constraints and power consumption.
• Firmware Integration: Collaborate with hardware teams to integrate embedded logic with high-level software services.
• Software Development: Service Layer: Build scalable microservices (using Node.js, C#.Net, or Python) to ingest, process, and route high-velocity telemetry data.
• API Development: Design and maintain RESTful and GraphQL APIs for front-end applications and third-party integrations.
• Edge Logic: Write scripts for edge devices to perform local data filtering, anomaly detection, and "store-and-forward" logic during connectivity outages.
• Network & Security: Connectivity Management: Knowledge of different IOT connectivity mediums like Wi-Fi, BLE, LoRaWAN, and Cellular (5G/NB-IoT).
• Security First: Deploy end-to-end encryption (TLS/SSL), X.509 certificate management, and secure boot processes to protect the device fleet from vulnerabilities.
• OTA Updates: Build and manage Over-the-Air (OTA) update pipelines to ensure fleet-wide security patches and feature releases.

Technical Skills & Qualifications:

• Languages: C#, C/C++, and JavaScript/TypeScript.
• IoT Protocols: Deep knowledge of MQTT, AMQP, JSON
• Cloud/Infrastructure: Experience with Docker, Kubernetes, and Linux Server
• Databases: Familiarity with Time-Series DBs (InfluxDB, Timescale) and NoSQL (MongoDB/DynamoDB).

Preferred Qualifications:

• Experience: 5+ years of experience in the development of scalable server applications.
• Experience with Digital Twin concepts and modeling.
• Knowledge of distributed architecture design using Kafka & Redis Familiarity with DevOps for IoT (CI/CD pipelines for hardware-in-the-loop testing).