Shopfloor Apps Software Analyst- Cloud & Integration

Overview

Build and maintain the cloud-side data pipelines and applications that ingest IoT and manufacturing data, process it, and surface it in dashboards and apps for plant stakeholders.

What you'll do

• 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, and 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 and 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 you'll need

• 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 an 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.
• Basic algorithm understanding (sorting, searching, graph traversal, complexity analysis).
• CI/CD pipeline experience (GitHub Actions or equivalent); containerization (Docker/Kubernetes).
• Experience with monitoring and observability platforms (Grafana, Prometheus, Azure Monitor).
• Understanding of IT/OT security principles (ISA/IEC 62443, Zero Trust) and manufacturing network basics.
• Integration experience with MES/SCADA/PLC/ERP/PLM using REST APIs, OPC-UA, MQTT/AMQP.

Nice to have

• Microsoft Azure certifications (AZ-900, AZ-204).
• Docker/Kubernetes certifications.

Details

• Location: Bengaluru, India.
• Applicants must be currently authorized to work on a full-time basis in the country where the position is based; visa sponsorship is provided only in certain circumstances based on business need.
• Works under the technical direction of a Bucharest-based architecture lead and coordinates with a local delivery coordinator in Bangalore.