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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 breakdown technical problems\nDevelops secure high-quality production code, and reviews and debugs code written by others\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. \nIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\nLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\nRequired qualifications, capabilities, and skills\nBachelor Degree in Computer Science/ Information systems/ Engineering or related disciplines\nMinimum 5 years of Software development hands on experience\nAdvanced knowledge in Java on Spring Boot programming language\nHands-on practical experience delivering system design, application development, testing, and operational stability\nProficient in all aspects of the Software Development Life Cycle, software engineering principles, design patterns, and best practices\nAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security and proficient in automation and continuous delivery methods\nDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\nHands on experience working with high throughput, low latency distributed systems ensuring efficient communication and integration between different systems\nProven record of providing end-user support with excellent problem-solving abilities\nHands-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\nUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; 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