Jobs · Engineering

IoT Platform Engineer

Bright Vision Technologies · Chesterfield, MO · 1 wk ago
RemoteRemoteEngineering$130k–$150k/yrFull-time

About the role

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Position: 100% Remote (U.S.), Full-time, Direct W2. Experience Required: 6+ years. Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

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.

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 (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

Qualifications

  • 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)

Pay

Salary Range: $130,000–$150,000 Annually

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