Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The IoT Platform Engineer will design and build connected, data-driven industrial systems spanning factory-floor edge environments to enterprise cloud platforms, including edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards. The role also involves collaborating with cross-functional stakeholders, conducting code and design reviews, and mentoring junior engineers.
Responsibilities
- Design and build connected, data-driven industrial systems spanning the factory floor to enterprise cloud platforms
- Architect end-to-end IIoT solutions, including edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards
- Work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions
- Raise the bar through code review, design review, and mentorship of more junior engineers
- Ship meaningful work that holds up well in production
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.)
- Full-time, Direct W2
Company Overview