Remote Position
[Remote] IoT Engineer (Industrial IoT)
🌍 Remote · United States
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is hiring an experienced IoT Engineer (Industrial IoT) to design and build connected industrial systems spanning factory-floor devices and enterprise cloud platforms. The role architects end-to-end IIoT solutions, including edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards, while collaborating across teams and mentoring junior engineers.
Responsibilities
- We are seeking an experienced IoT Engineer (Industrial IoT) to design and build connected, data-driven industrial 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
- In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers
Skills
- 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 (OPC UA, Modbus, MQTT, Sparkplug B)
- Experience with at least one major cloud IoT platform (AWS, Azure, GCP)
- Hands-on experience with edge runtimes (Greengrass, 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
- Experience with digital-twin platforms
- Hands-on experience with predictive maintenance ML models
- Exposure to time-series databases (InfluxDB, TimescaleDB)
- Familiarity with Unified Namespace (UNS) patterns
- Industrial certifications (ISA, IEC 62443)
Benefits
- 100% remote (U.S.)
- Tremendous career growth potential
Company Overview