Industrial IoT Engineer

Industrial IoT Engineer

Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement Experience: 5+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed. Employment Type: Full-time, direct W2 with Bright Vision Technologies

Engagement

Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap.

Compensation

Competitive base salary commensurate with experience, plus benefits.

Employment Terms & Visa Policy

This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies as part of an in-house Statement of Work (SOW) engagement. There is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements. Candidates must be willing to work directly as a full-time W2 employee. No new H1B sponsorship is available; however, H1B transfers for qualified candidates are welcome. A technical coding assessment is mandatory.

Job Summary

We are seeking an experienced Industrial IoT (IIoT) Engineer to design and build connected, data-driven industrial systems. You will architect end-to-end IIoT solutions, including edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards. The ideal candidate combines strong software engineering skills with practical experience in industrial protocols, edge computing, and cloud IoT platforms. You will work closely with cross-functional partners to translate requirements into engineered solutions and will be expected to raise the bar through code review, design review, and mentorship.

Key Responsibilities

• Architect end-to-end IIoT solutions spanning edge devices, gateways, connectivity, and cloud platforms.
• Design data acquisition pipelines from PLCs, SCADA, and sensors using protocols such as OPC UA, Modbus, MQTT, and Sparkplug B.
• Build edge computing applications using AWS IoT Greengrass, Azure IoT Edge, or similar platforms.
• Implement secure connectivity using mTLS, certificate management, and zero-trust patterns.
• Build cloud ingestion and processing pipelines using AWS IoT Core, Azure IoT Hub, Kafka, or similar.
• Develop real-time analytics, anomaly detection, and predictive maintenance models.
• Build operational dashboards and alerts for plant managers and operators.
• Integrate IIoT data streams with MES, ERP, CMMS, and historian systems.
• Implement strong device management, including provisioning, OTA updates, and certificate rotation.
• Collaborate closely with OT, process engineering, and reliability teams.
• Ensure compliance with relevant industrial cybersecurity standards (IEC 62443, NIST).
• Maintain comprehensive, current technical documentation.
• Mentor and coach junior and mid-level engineers.
• Continuously evaluate emerging IIoT technologies and platforms.

Required Qualifications

• 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.

Preferred 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).

How to Apply

For immediate consideration, please send your resume to [email protected] or contact us at +1 (908) 765-8199. Learn more about Bright Vision Technologies at www.bvteck.com.

Bright Vision Technologies is an equal opportunity employer and values diversity and inclusion. We do not discriminate on the basis of any protected attribute. We make reasonable accommodations for religious practices, beliefs, mental health, or physical disability needs.

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