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You will work across multiple technical areas and business functions, partnering with your team to deliver solutions that matter to our customers and the firm. You help strengthen our engineering culture through ownership, continuous improvement, and inclusive collaboration.\nJob responsibilities\nExecute software solutions through design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems\nCreate secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems\nProduce architecture and design artifacts for complex applications and ensure design constraints are met through software code development\nLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.\nApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.\nGather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement of applications and systems\nProactively identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture\nContribute to software engineering communities of practice and events that explore new and emerging technologies\nAbility to independently work on modules with minimal support\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 3+ years applied experience\nExperience in full stack software engineering, with a track record of developing and deploying business critical applications in production.\nProficiency in Java, Spring Boot, SQL with the ability to learn additional programming languages as needed\nExperience with React and other front end technologies\nExperience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.\nUnderstanding of incorporating AI use in engineering workflows, including data sensitivity considerations, curation of inputs, measuring performance, model fine tuning and adherence to resiliency and security expectations; \nKnowledge of cloud-based development\nExperience developing, debugging, and maintaining code in a large corporate environment, including use of database querying languages\nOverall knowledge of the Software Development Life Cycle, including agile practices such as CI/CD, application resiliency, and security\nPreferred qualifications, capabilities, and 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