Remote IIoT Engineer: Edge-to-Cloud Solutions

Bright Vision Technologies

Santa Clara (CA)

On-site

USD 75,000 - 100,000

Full time

14 days+

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Job summary

Bright Vision Technologies is seeking an experienced Industrial IoT Engineer to design and build connected, data-driven systems spanning the factory floor to enterprise cloud platforms. In this role 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 will combine strong software engineering skills with practical experience in industrial protocols, edge computing,

Qualifications

  • Bachelor’s degree in CS/Engineering or related field.
  • 5+ years in IIoT or industrial software engineering.
  • Strong Python, C++, or Go skills.
  • Hands-on with OPC UA, Modbus, MQTT, Sparkplug B.
  • Experience with AWS/Azure/GCP IoT platforms.
  • Edge runtimes: Greengrass or IoT Edge.
  • Understanding OT/IT integration patterns.
  • Experience with streaming/real-time analytics.
  • Familiar with industrial cybersecurity standards.
  • Excellent troubleshooting and communication.

Responsibilities

  • Design and build connected, data-driven industrial systems.
  • Architect end-to-end IIoT solutions from edge to cloud.
  • Collaborate with product, design, engineering, operations, and business teams.
  • Mentor junior engineers and participate in code/design reviews.

Skills

Python
C++
Go
OPC UA
Modbus
MQTT
Sparkplug B
Cloud platforms
Greengrass
IoT Edge
OT/IT integration
Real-time analytics
Troubleshooting
Documentation
Communication

Education

Bachelor’s degree in CS/Engineering

Tools

AWS IoT Greengrass
IoT Edge
InfluxDB

Job description

Bright Vision Technologies is seeking an experienced Industrial IoT Engineer to design and build connected, data-driven systems spanning the factory floor to enterprise cloud platforms. In this role 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 will combine strong software engineering skills with practical experience in industrial protocols, edge computing,

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