IoT Advanced Solution Engineer

Responsible for designing, developing, and deploying advanced IoT and IIoT solutions across industrial and enterprise environments. Integrates sensors, edge devices, gateways, and cloud platforms to enable real-time data collection, analytics, and digital transformation use cases in support of OSCO's engineering solutions portfolio.

• Design end-to-end IoT and IIoT architectures covering device connectivity, edge processing, data pipelines, and application layers.
• Integrate sensors, edge devices, and IoT gateways with cloud platforms for real-time monitoring and analytics.
• Develop IoT applications and dashboards for remote monitoring, predictive maintenance, and asset performance management.
• Implement data analytics and AI/ML use cases to generate operational insights from IIoT data streams.
• Ensure secure communication, data integrity, and cybersecurity compliance across all IoT solutions.
• Integrate IoT solutions with enterprise systems including ERP (Odoo), SCADA, MES, and third-party platforms.
• Perform testing, performance optimization, and deployment of IoT solutions in industrial environments.
• Support clients in defining IoT use cases, requirements, and ROI frameworks for digital transformation projects.
• Develop technical documentation, architecture diagrams, and solution handover packs.

• Bachelor's degree in Computer Engineering, Electronics, Telecommunications, Automation, or an IoT-related discipline.
• Minimum 4 years of experience in IoT or IIoT solution development and deployment.
• Hands-on experience with cloud IoT platforms (Azure IoT Hub, AWS IoT Core, or equivalent).
• Knowledge of edge computing architectures, industrial gateways, and MQTT/REST protocols.
• Experience with data analytics, AI/ML frameworks, or digital twin concepts is an advantage.

• Proficiency with Azure IoT, AWS IoT, or equivalent cloud IoT platforms.
• Edge computing and industrial gateway configuration experience.
• Knowledge of MQTT, CoAP, REST API, and OPC-UA protocols.
• Data analytics and basic AI/ML model deployment skills.
• Cybersecurity awareness for IoT ecosystems.
• Ability to integrate IoT solutions with ERP, SCADA, and MES platforms.