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You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.\nJob responsibilities:\nExecutes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\n Leverages 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.\nCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems\nProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development\nGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems\nProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture\nContributes to software engineering communities of practice and events that explore new and emerging technologies\nAdds to team culture of diversity, opportunity, inclusion, and respect\nRequired qualifications, capabilities, and skills:\nFormal training or certification in Software Engineering and 5+ years applied experience\n Hands-on experience 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.Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.\n\nCombined software/application development experience, with a focus on mobile development\nExperience providing technical leadership and mentoring diverse engineering teams building native mobile applications\nStrong Android development experience, including building mobile applications using Kotlin\nWorking knowledge of common architectural patterns, including MVVM, MVP, and MVC\nExperience with modern native mobile development tools and frameworks, including Git, Xcode, CocoaPods, Swift Package Manager, CoreData, Android Studio, Robolectric, Mockito, Espresso, RxJava, Dagger, and Retrofit\nExperience building and maintaining CI/CD pipelines\nExperience working in Agile development environments, including daily scrums and iteration reviews/planning\nSolid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\nDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\nPreferred qualifications, capabilities, and skills:\nFamiliarity with mobile performance optimization, device-based testing, and common mobile platform constraints\nWorking knowledge of multiple programming languages, such as Swift, Kotlin, Objective-C, Java, C++, JavaScript, Ruby, and Python\nExperience with Git source control management\nExperience consuming and integrating RESTful web services in 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