IoT Engineer (Industrial IoT)

Job summary

Bri*** is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.

Benefits

Qualifications

• 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.
• into well-engineered solutions, and will 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.
• 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)
• Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time
• Continuously evaluate emerging IIoT
• 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
• Experience with digital-twin platforms
• Hands-on experience with predictive maintenance ML models

Responsibilities

• 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.
• 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
• may result in disciplinary action up to and including termination of employment.

Skills

Degrees

Work schedule

Industry

Company size