Full-Stack Digital Infrastructure Engineer needed at Professional Career Services

Job Description

• End-to-End Engineering across all layers of the IoT platform and future UMH-based architecture: Edge integration with industrial equipment using industrial protocols (Modbus, OPC-UA, etc.)
• Protocol translation and control logic using Node-RED (Edge and Core)
• Real-time data transport using MQTT (HiveMQ in UMH)
• Any pub-sub technologies
• Core data operations and stream processing (Node-RED, Kafka, Bloblang)
• Time-series database engineering (InfluxDB 2.7, TimescaleDB)
• Reporting database management (PostgreSQL)
• Data visualization using Grafana (multi-tenant dashboards)
• Familiar with Kubernetes or docker
• Multi-stage energy management control strategies
• Data pipelines for telemetry ingestion and processing
• Dashboards for energy arbitrage, revenue visibility, and load balancing

Qualifications

• BSc Computer Science

Skills

• Minimum of 5 years experience in IoT, industrial automation, or full-stack data engineering roles
• Strong exposure to real-time systems and edge computing
• Experience with energy management systems and/or smart infrastructure is highly desirable
• Previous experience with MQTT-based semantic hierarchies or Unified Namespace architecture is a strong advantage
• Prior customer-facing engineering or pre-sales support experience is preferred
• Technology Stack (Current and Emerging)

TECH STACK:

• Edge Protocols: Modbus, OPC-UA, Node-RED
• Data Transport: MQTT (currently Mosquito; HiveMQ in UMH)
• Stream Processing: Node-RED, Kafka, Bloblang
• Time-Series Storage: InfluxDB 2.7 (current); TimescaleDB (UMH)
• Reporting Storage: PostgreSQL
• Data Extraction & Logic: Python
• Visualization: Grafana
• ML & Forecasting: Python ML stack (Pandas, Scikit-learn, etc.)
• DevOps: Git, Docker, CI/CD pipelines