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Mid-level backend title, metro location, hybrid flexibility, and broad skillset create high candidate competition.
Strong Industrial IoT and Azure focus limits transferability across industries, making background fit moderately sensitive.
Explicit 5–8 years, mandatory .NET, API, cloud and IoT domain experience increases shortlisting strictness.
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Design, develop, and maintain scalable backend services and APIs for Industrial IoT, condition monitoring, and asset management platforms.
Own technical architecture including service layers, databases, cloud integration, and enable AI-readiness for backend applications with AI/ML and Azure AI services integration.
Translate business and product requirements related to connected assets, telemetry data, and reliability workflows into secure, production-ready backend solutions.
5–8 years of backend engineering experience with .NET technologies.
Strong API design and database development skills.
Work Model: Hybrid onsite at designated Regal Rexnord location with flexibility for remote work.
Work Experience Required: 5–8 years (explicitly mentioned).
Experience working with Industrial IoT or asset management backend systems supporting telemetry and equipment health monitoring.
Proven ability to bridge business/product requirements and engineering execution in complex, data-rich industrial contexts.
Familiarity with cloud-native architectures and AI/ML integration in backend services, especially with Azure AI services.