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use approved AI tools to clarify ambiguity and produce an actionable delivery plan.\n2) Provide and document detailed architecture and function designs covering APIs, data models, transactions, error handling, security, observability and maintainability.\n3) Implement, integrate and troubleshoot backend or full-stack functionality, working with front-end and test engineers and adapting to technologies beyond the traditional Java stack when the product requires it.\n4) Use AI coding agents to accelerate analysis, coding, refactoring, test generation and documentation while retaining engineering ownership through review, verification and traceable decisions.\n5) Create unit, integration, contract, automation and system-test support as appropriate; prepare reliable development and test environments and improve CI/CD feedback loops.\n6) Support production through deployment automation, monitoring, logging, tracing, incident response and root-cause analysis; eliminate repetitive manual work with safe automation and clear runbooks.\nRequirements:\n1) BS or MS in Computer Science, Software Engineering or a related field.\n2) 3+ years of experience developing web applications or comparable backend/full-stack systems.\n3) Strong Java fundamentals with experience in Spring, Spring Boot, ORM/MyBatis or comparable frameworks in other languages like python, TS etc; 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