Digital Platform Engineer
Sindhorn Tower, 130-132 Wireless Road Bangkok 10300 Thailand, hybrid, contract, 3+ years
seen 54d ago
- MQTT
- OPC-UA
- Windows Server
- Prometheus
- Bash
- Grafana
- Modbus
- TimescaleDB
- Linux
- Docker
- InfluxDB
- Node-RED
- Python
- Kubernetes
- REST APIs
About the role
Digital Platform Engineer - Hybrid 1-year Contract
The Digital Platform Engineer is responsible for designing, implementing, and maintaining digital infrastructure to enable machine connectivity, real-time data integration, and visualization within manufacturing environments. The role focuses on establishing reliable data pipelines from shopfloor equipment (e.g., new plating line machines), ensuring seamless integration with SCADA systems, and enabling real-time monitoring and analytics through platforms such as Grafana. This position plays a critical role in building scalable and secure digital foundations to support smart factory initiatives and operational excellence.
The Digital Platform Engineer is responsible for designing, implementing, and maintaining digital infrastructure to enable machine connectivity, real-time data integration, and visualization within manufacturing environments
What you would do
Infrastructure Setup & Configuration
• Design and implement infrastructure required to support machine connectivity and data acquisition (edge devices, gateways, network configurations)
• Configure environments for data ingestion, processing, and visualization (on-prem / cloud / hybrid)
• Ensure system reliability, scalability, and security of all platform components
Machine Connectivity & OT Integration
• Establish connectivity with manufacturing equipment (e.g., plating line machines, sensors, PLCs)
• Integrate machine data using industrial protocols (e.g., OPC-UA, MQTT, Modbus, REST APIs)
• Ensure stable and secure communication between OT and IT environments
• SCADA Integration: Collaborate with automation engineers to interface seamlessly with SCADA systems and PLCs (e.g., Siemens, Rockwell) to extract telemetry and status data.
• Data Pipeline Reliability: Ensure the continuous, low-latency ingestion of high[1]frequency machine data from the shop floor to core databases.
Real-Time Data & Visualization
• Grafana Ecosystem: Own the administration, configuration, and optimization of Grafana for the manufacturing environment. Classification: Pandora Internal
Read from careers.publicissapient.com, last seen 1d ago.