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Mid-level, generic engineer title in Bangalore with popular stack attracts many applicants despite some IoT niche requirements.
Deep manufacturing IoT, MES/SCADA, and OPC‑UA integration experience limits cross-industry transferability.
Explicit 4–7 years plus multiple mandatory cloud, IoT, integration, and security requirements enforce strict shortlisting.
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Own and develop end-to-end IoT and manufacturing data pipelines from sensor data ingestion to dashboard visualization for plant stakeholders.
Develop and maintain production-grade cloud applications and integrations with manufacturing systems (MES, ERP, SCADA) ensuring reliability, security, and operational performance.
Manage CI/CD pipelines, containerization, infrastructure-as-code, and observability tools to ensure high availability and real-time data handling in manufacturing environments.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field.
4–7 years of experience in cloud, integration, or software engineering focused on manufacturing/industrial environments.
Hands-on experience with Azure cloud services (IoT Hub, Functions, Event Hub) or equivalent cloud platform.
Proficient in programming (Python, Node.js, C#/.NET, or Java), real-time streaming technologies (Kafka, MQTT), SQL, and integration protocols (REST APIs, OPC-UA, MQTT/AMQP).
Experienced in designing and operating complex cloud-native IoT and manufacturing data solutions with real-time streaming and event-driven architectures.
Technical ownership mindset with capability to coordinate across global teams (architecture lead in Bucharest, delivery coordinator in Bangalore).
Strong background in secure, scalable integration of shopfloor systems (MES/SCADA/PLC/ERP/PLM) with rigorous attention to IT/OT security standards (ISA/IEC 62443, Zero Trust).