Shopfloor Apps Software Engineer - Cloud & Integration

Role & responsibilities

Key Responsibilities

• • Build and maintain endtoend IoT and manufacturing data pipelines from plantfloor data sources (sensors, PLCs, OPCUA gateways) through cloud ingestion (Azure IoT Hub, Event Hub, Kafka, MQTT) to storage and visualization.
• Develop and maintain productionfacing applications: OEE dashboards, downtime trackers, quality reporting tools, and operatorfacing UIs using React/Angular frontends and .NET/Node.js/Python backends.
• Build secure, eventdriven integrations between shopfloor solutions and MES, ERP (SAP), PLM, SCADA/PLC, historians, and IoT platforms using REST/GraphQL APIs, MQTT/AMQP, OPCUA, and middleware.
• Own CI/CD pipelines (GitHub Actions or equivalent), containerization (Docker/Kubernetes), infrastructureascode, and environment promotion across dev/test/production for shopfloor applications.
• Implement and maintain realtime streaming architectures handling highthroughput manufacturing data with proper handling of backpressure, outoforder events, schema evolution, and failure recovery.
• Write and optimize nontrivial SQL queries against production databases for data mining, reporting, and integration validation; design data models for timeseries 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 endtoend: 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 realtime dashboards, machine connectors, and monitoring tools; integrate timeseries data from sensors/PLCs/historians for actionable insights (OEE, scrap, downtime, anomaly trends).
• Ensure all solutions meet PHINIAs standards for reliability, cybersecurity, ISA/IEC 62443 alignment, Zero Trust, data integrity, and operational performance.
• Apply automationfirst engineering: test automation, containerization, repeatable builds, and standardized templates/components for reuse across global sites.
• Explore and implement edge AI/computervision capabilities (e.g., defect detection) and cloud/edge patterns (Azure IoT, Functions, Event Hub, Kafka) where value is demonstrated.
• Produce and maintain technical documentation including architecture diagrams, dataflow diagrams, configuration guides, and runbooks.

Interested candidates can send thier CV on [email protected]