Remote IIoT Engineer — Edge-to-Cloud Solutions

Bright Vision Technologies; Sterling (VA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Industrial IoT Engineer to design and build connected systems from 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 dashboards.

The ideal candidate brings strong software engineering skills with hands-on experience in industrial protocols, edge runtimes, and cloud IoT platforms, and will mentor junior

Qualifications

• BS in CS/Engineering or related technical field.
• 5+ years IIoT or industrial software experience.
• Strong Python/C++/Go skills.

Responsibilities

• Design and build connected, data-driven industrial systems from factory floor to cloud platforms.
• Architect end-to-end IIoT solutions including edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards.
• Combine strong software engineering with practical knowledge of industrial protocols, edge computing, and cloud IoT platforms.
• Collaborate with product, design, engineering, operations, and business stakeholders to translate requirements into solutions.
• Lead code and design reviews and mentor junior engineers to raise engineering quality and consistency.
• Demonstrate production-grade shipping history and solid engineering discipline.

Skills

Python

C++

Go

IIoT

Edge computing

Cloud platforms

OT/IT integration

Real-time analytics

Education

Bachelor’s degree in CS/Engineering

Tools

OPC UA

Modbus

MQTT

Sparkplug B

Greengrass

IoT Edge

Job description

Bright Vision Technologies is seeking an experienced Industrial IoT Engineer to design and build connected systems from 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 dashboards.

The ideal candidate brings strong software engineering skills with hands-on experience in industrial protocols, edge runtimes, and cloud IoT platforms, and will mentor junior