IoT System Engineer & Developer

Expersia

Vadodara

On-site

INR 1,200,000 - 2,100,000

Full time

12 days ago

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Job summary

Expersia is seeking an IoT System Engineer & Developer to design, build, and maintain end-to-end IoT infrastructure. The role blends system architecture with hands-on full-stack development, connecting hardware to cloud with low latency and secure data transmission.

You will work on edge-to-cloud architecture, microservices, and secure OTA update pipelines, collaborating with hardware teams to deliver scalable, reliable IoT solutions.

Qualifications

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

Responsibilities

  • End-to-End System Design: edge-to-cloud architecture connecting sensors, edge gateways, and cloud platforms.
  • Protocol Implementation: MQTT, CoAP, HTTP/2, and gRPC data transmission optimization.
  • Firmware Integration: collaborate with hardware teams to tie embedded logic to software services.
  • Software Development: build scalable microservices to ingest and route telemetry data.
  • API Development: design RESTful and GraphQL APIs for front-end and third-party integrations.
  • Edge Logic: scripts for edge devices performing local filtering and store-and-forward logic.
  • Security & OTA: TLS/SSL, X.509, secure boot, and OTA pipelines for fleet updates.

Skills

C#
C/C++
JavaScript/TypeScript

Tools

Docker
Kubernetes
Linux

Job description

  • Job Title: 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).

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