Shopfloor Apps Software Engineer - Cloud & Integration

About this role

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Skills you'll use

What you'll do

• Key Responsibilities
• Build and maintain end‑to‑end IoT and manufacturing data pipelines — from plant‑floor data sources (sensors, PLCs, OPC‑UA gateways) through cloud ingestion (Azure IoT Hub, Event Hub, Kafka, MQTT) to storage and visualization.
• Develop and maintain production‑facing applications: OEE dashboards, downtime trackers, quality reporting tools, and operator‑facing UIs using React/Angular frontends and .NET/Node.js/Python backends.
• Build secure, event‑driven integrations between shopfloor solutions and MES, ERP (SAP), PLM, SCADA/PLC, historians, and IoT platforms using REST/GraphQL APIs, MQTT/AMQP, OPC‑UA, and middleware.
• Own CI/CD pipelines (GitHub Actions or equivalent), containerization (Docker/Kubernetes), infrastructure‑as‑code, and environment promotion across dev/test/production for shopfloor applications.
• Implement and maintain real‑time streaming architectures handling high‑throughput manufacturing data with proper handling of backpressure, out‑of‑order events, schema evolution, and failure recovery.
• Write and optimize non‑trivial SQL queries against production databases for data mining, reporting, and integration validation; design data models for time‑series and manufacturing datasets.
• Implement observability (logs/metrics/traces), SLOs/SLIs, and proactive alerting using Grafana, Prometheus, or Azure Monitor; ensure high availability during production shifts.
• Troubleshoot integration failures end‑to‑end: capture raw payloads, compare against schema, identify encoding issues, trace through network layers, and resolve root cause across JSON, XML, and SOAP integrations.
• Develop and maintain real‑time dashboards, machine connectors, and monitoring tools; integrate time‑series data from sensors/PLCs/historians for actionable insights (OEE, scrap, downtime, anomaly trends).

Who can apply

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field
• 4–7 years of experience in cloud engineering, integration engineering, or software engineering for manufacturing/industrial environments
• Hands‑on experience with Azure cloud services (IoT Hub, Functions, Event Hub, App Service) or equivalent cloud platform
• Experience with real‑time streaming technologies (Kafka, MQTT, NiFi, Azure Event Hub) including handling of backpressure, deduplication, and late‑arriving data
• Strong programming skills in Python, Node.js, C#/.NET, or Java; modern frontend frameworks (React/Angular) for dashboard development
• SQL fluency (joins, window functions, query optimization) for data mining against production and analytics databases; comfort with time‑series data modeling
• Big data awareness: familiarity with data lake architectures, batch and streaming ingestion patterns, and time‑series databases (InfluxDB, TimescaleDB, ADX)
• Fluency reading and debugging JSON, XML, and SOAP payloads across integration boundaries

Perks & benefits

About Phinia

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