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About the role
JOB PURPOSE PHINIA is seeking a Shopfloor Apps Software Engineer with a cloud and integration focus to build and maintain the data pipelines and applications that ingest IoT/manufacturing data, process it, and surface it in dashboards and apps for plant stakeholders. This role owns the portfolio of cloud side applications and integrations that turn raw machine data into usable information from streaming ingestion through to the dashboards that plant managers use daily. The engineer works under the technical direction of a Bucharest based architecture lead and coordinates with a local delivery coordinator in Bangalore. 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). Ensure all solutions meet PHINIA s standards for reliability, cybersecurity, ISA/IEC 62443 alignment, Zero Trust, data integrity, and operational performance. Apply automation first engineering: test automation, containerization, repeatable builds, and standardized templates/components for reuse across global sites. Explore and implement edge AI/computer vision 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, data flow diagrams, configuration guides, and runbooks. What we re looking for 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 Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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