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Mid-level, metro and generalist Systems Engineer title with 3-6 years increases candidate competition.
Embedded Linux and utility IoT domain focus makes skills less transferable across unrelated industries.
Explicit five-year requirement and Linux application experience raise filtering but not extremely narrow.
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Own system design and requirement analysis for Distributed Intelligence applications and agents that deliver analytics data to utility back-office systems.
Collaborate with Product Line Managers to translate customer use cases and business needs into effective system architectures.
Support troubleshooting, bug resolution, and documentation efforts to maintain system reliability and enhance customer experience.
Bachelor’s degree in Information Technology or related engineering field required.
Minimum 5 years experience in application development or support within a Linux-based environment.
Experience with embedded Linux development is preferred but not strictly mandatory.
Up to 10% travel per year required.
Deep technical expertise in Distributed Intelligence eco-systems, particularly working with DI Apps and DI Agents.
Strong system design skills with the ability to analyze and optimize complex architectures for utility IoT solutions.
Experience working in cloud environments (preferably Azure) and familiarity with system engineering best practices and UML modeling.