Bengaluru, Karnataka, India
Onsite
PHINIA: Advancing sustainability today, powering a cleaner tomorrow.
PHINIA is a diversified industrial supplier and global leader in the development of fuel systems, electrical systems, and aftermarket solutions, with a strong portfolio of trusted brands that includes DELPHI®, DELCO REMY®, and HARTRIDGE™. With over 100 years of manufacturing expertise and industry relationships, PHINIA has approximately 12,500 talented employees and over 40 locations in 20 countries and is headquartered in Auburn Hills, Michigan, USA. Read More
JOB PURPOSE
PHINIA is seeking a Shopfloor Apps Software Analyst 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
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
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
Microsoft Azure certifications (AZ‑900, AZ‑204) — preferred
Docker/Kubernetes certifications — preferred
EQUAL EMPLOYMENT OPPORTUNITY
PHINIA is an equal employment opportunity employer such that all qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity/expression, national origin, disability or protected veteran status.
VISA SPONSORSHIP
For this role, applicants must be currently authorized to work on a full-time basis in the country where the position is based. Only in certain circumstances, based on business need, does PHINIA provide sponsorship for employment visa status.
NO UNAUTHORIZED REFERRALS
PHINIA does not accept unsolicited resumes from recruitment agencies or third-party vendors. Any recruitment partnership must be approved in writing by Human Resources before candidate submissions are made.
GLOBAL TERMS OF USE AND PRIVACY STATEMENT
Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review.
Before submitting your application you will be asked to confirm your agreement with the terms.
Career Scam Disclaimer:
PHINIA makes no representations or guarantees regarding employment opportunities listed on any third-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by PHINIA. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact PHINIA through PHINIA’s website to verify the authenticity of any employment opportunities.
Advancing sustainability today, powering a cleaner tomorrow. Join us on this shared journey to a brighter tomorrow. For more information about PHINIA, please visit www.phinia.com.
