Role: Database Administrator
Industry Type: Industrial Automation
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: DBA / Data warehousing
UG: Any Graduate
PG: Any Postgraduate
Schneider Electric India Pvt. Ltd. is looking for L4-Product support Engineer to join our dynamic team and embark on a rewarding career journey Investigate and resolve complex system-level issues across hardware, firmware, cloud, and mobile platforms. Analyze logs, traces, network capture, system metrics, and API interactions to identify root causes. Reproduce field issues in lab environments to validate hypotheses and support engineering teams. Own critical escalations from L3 teams, ensuring timely and high-quality resolution. Provide RCA documentation, corrective action proposals, and long-term recommendations. Perform deep-dive analysis of EBA system architecture, including controllers, gateways, cloud components, and mobile workflows. Support integration efforts across different layers of the EBA platform and its external integrations. Validate end-to-end workflows to ensure subsystem interoperability and performance. Troubleshoot integration protocols such as BACnet, Modbus on the edge side, and MQTT, REST APIs, HTTPS, and other IoT communication layers for the cloud communication. Identify system bottlenecks, performance issues, and configuration defects. Serve as the bridge between field support teams and R&D engineering groups, providing detailed field insights to influence product roadmaps and design decisions. Document troubleshooting guides, diagnostic procedures, and knowledge base articles, delivering post-escalation briefings and contributing to continuous improvement loops. Mentor L3 engineers and help elevate the technical competence of the product support team. Contribute to product quality improvement initiatives, including failure mode analysis and test coverage enhancements. Participate in cross-functional reviews, defect triages, and technical deep-dive sessions. Support the development of troubleshooting tools, diagnostic frameworks, and automation scripts. Recommend improvements in escalation workflows, documentation structure, and customer experience practices.
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