Industrial IoT Engineer
About The Position
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The company describes this as an opportunity to join an established organization with career growth potential. The Industrial IoT Engineer will design and build connected, data-driven industrial systems spanning factory-floor environments and enterprise cloud platforms. The role involves architecting end-to-end IIoT solutions, including edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards. The engineer will collaborate with product, design, engineering, operations, and business stakeholders to translate ambiguous requirements into well-engineered solutions. The role also includes contributing to code and design reviews and mentoring junior engineers. The position is full-time, direct W2, and 100% remote within the United States. The stated salary range is $75,000–$100,000 annually. U.S. citizens, green card holders, EAD holders, and H-1B transfer candidates are encouraged to apply; the company cannot sponsor new H-1B petitions for this position.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
- Five or more years of IIoT or industrial software engineering experience.
- Strong programming skills in Python, C++, or Go.
- Hands-on experience with industrial protocols such as OPC UA, Modbus, MQTT, or Sparkplug B.
- Experience with at least one major cloud IoT platform: AWS, Azure, or GCP.
- Hands-on experience with edge runtimes such as Greengrass or IoT Edge.
- Solid understanding of OT/IT integration patterns.
- Experience with streaming and real-time analytics platforms.
- Familiarity with industrial cybersecurity standards.
- Excellent troubleshooting, communication, and documentation skills.
Nice To Haves
- Experience with digital-twin platforms.
- Hands-on experience with predictive maintenance machine-learning models.
- Exposure to time-series databases such as InfluxDB or TimescaleDB.
- Familiarity with Unified Namespace (UNS) patterns.
- Industrial certifications such as ISA or IEC 62443.
Responsibilities
- Design and build connected, data-driven industrial systems spanning factory-floor environments and enterprise cloud platforms.
- Architect end-to-end IIoT solutions covering edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards.
- Collaborate with product, design, engineering, operations, and business stakeholders to translate requirements into well-engineered solutions.
- Participate in code reviews and design reviews.
- Mentor more junior engineers.
- Troubleshoot issues and produce clear documentation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
