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The Full Stack Software Architect will design, build, and own end‑to‑end manufacturing analytics applications focused on Overall Equipment Effectiveness (OEE), daily production reporting, and inventory visibility. This role is hands-on and responsible for architecture, backend and frontend development, data integration, automated testing, CI/CD, deployment on Microsoft Azure, and ongoing enhancements. The architect will work closely with manufacturing, operations, maintenance, supply chain, and IT stakeholders to translate business requirements into secure, scalable, and robust digital solutions.
Job Responsibility:
Design, build, and own end‑to‑end manufacturing analytics applications focused on Overall Equipment Effectiveness (OEE), daily production reporting, and inventory visibility
Responsible for architecture, backend and frontend development, data integration, automated testing, CI/CD, deployment on Microsoft Azure, and ongoing enhancements
Work closely with manufacturing, operations, maintenance, supply chain, and IT stakeholders to translate business requirements into secure, scalable, and robust digital solutions
Requirements:
Bachelor’s degree in computer science, Software Engineering, Information Systems, or related field
or equivalent experience
10+ years of professional software development experience, including: Significant hands-on, development (APIs, services, data processing)
Full stack experience (front-end + back-end + database)
3+ years designing and delivering solutions on Microsoft Azure
Strong experience with: RESTful API design and implementation
Relational databases (SQL) and data modeling
Source control (Git) and modern branching strategies
CI/CD pipelines and automated testing frameworks (pytest, unittest, etc.)
Proven ability to independently deliver end‑to‑end features: design, code, test, deploy, and support
Experience working directly with business stakeholders (preferably in manufacturing/operations)
Nice to have:
Experience in manufacturing, process industries, or industrial automation environments
Familiarity with OEE, TPM, lean manufacturing concepts, and production KPIs
Experience integrating with MES, historians, SCADA, PLCs, or ERP (e.g., SAP) systems
Knowledge of event-driven and microservices architectures
Experience with: Containerization (Docker) and orchestration (AKS/Kubernetes)
Message queues and streaming platforms (Event Hubs, Kafka, Service Bus)
Time-series databases or BI tools (Power BI, Grafana)
Azure certifications (e.g., AZ-204, AZ-305, AZ-400) or equivalent experience