Senior Industrial IoT Engineer - Remote

Bright Vision Technologies

United States

Remote

USD 75,000 - 100,000

Full time

6 days ago
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Job summary

Bright Vision Technologies is seeking an experienced Industrial IoT Engineer to design and build connected, data-driven industrial systems spanning the factory floor to enterprise cloud platforms. You will architect end-to-end IIoT solutions, including edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards.

The ideal candidate combines strong software engineering with practical experience in industrial protocols, edge computing, and cloud IoT

Qualifications

  • Bachelors degree in a technical field required.
  • 5+ years in IIoT or industrial software engineering.
  • Proficient in Python, C++, or Go.
  • Hands-on with industrial protocols (OPC UA, Modbus, MQTT, Sparkplug B).
  • Experience with at least one cloud IoT platform (AWS/Azure/GCP).
  • Hands-on with edge runtimes (Greengrass, IoT Edge).
  • Strong OT/IT integration understanding and real-time analytics.
  • Familiar with industrial cybersecurity standards and experienced troubleshooters.

Responsibilities

  • Design and build connected, data-driven industrial systems from factory to cloud.
  • Architect end-to-end IIoT solutions including edge data acquisition and cloud ingestion.
  • Collaborate with product, design, engineering, operations and business stakeholders.
  • Mentor junior engineers and uphold coding and design standards.

Skills

Python
C++
Go
Industrial protocols
Edge computing
Cloud IoT platforms
OPC UA
Modbus
MQTT
Sparkplug B

Education

Bachelor9s degree in Computer Science, Engineering, or a related technical discipline

Tools

Greengrass
IoT Edge
AWS
Azure
GCP

Job description

Bright Vision Technologies is seeking an experienced Industrial IoT Engineer to design and build connected, data-driven industrial systems spanning the factory floor to enterprise cloud platforms. You will architect end-to-end IIoT solutions, including edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards.

The ideal candidate combines strong software engineering with practical experience in industrial protocols, edge computing, and cloud IoT

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