IIoT Solutions Engineer

Role Description

We are seeking an experienced IIoT Solutions Engineer 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
• Operational dashboards

The ideal candidate will combine strong software engineering skills with practical experience in industrial protocols, edge computing, and cloud IoT platforms. You will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions. You will also be expected to raise the bar through code review, design review, and mentorship of more junior engineers.

The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.

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.

Requirements

• 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 that turn raw telemetry from industrial assets into actionable signals for operators and reliability engineers.
• Build operational dashboards and alerts for plant managers and operators.
• Integrate IIoT data streams with MES, ERP, CMMS, and historian systems, designing reliable bidirectional flows that maintain consistency between operational technology and enterprise systems of record.
• Implement strong device management, including provisioning, OTA updates, and certificate rotation.
• Collaborate closely with OT, process engineering, and reliability teams, gathering requirements, aligning on technical approach, and ensuring that delivered solutions meet both functional needs and broader engineering and operational standards.
• Ensure compliance with relevant industrial cybersecurity standards (IEC 62443, NIST).
• Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures.
• Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing.
• Continuously evaluate emerging IIoT technologies and platforms, assessing maturity, fit for purpose, and total cost of ownership.

Benefits

• 100% Remote (Continental United States)
• Salary: $100K - $150K
• Full-time, direct W2 position with Bright Vision Technologies.
• Support for H1B transfers for qualified candidates.