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Description: We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Spread Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job Responsibilities - Design and develop trading tools, technical solutions and streamline technological stack across pre-trade, trade capture and pricing domain. - Conduct thorough analysis of legacy systems and processes; identify areas for improvement and innovation - Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. - Applies 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. - Develop metrics and KPIs to measure the success of transformation initiatives and report progress to senior leadership - Drive the design and development of the new system, deep dive in-to existing system and processes to propose solutions - Collaborate with wider SPG Trading, Risk and P&L teams to build scalable and robust solutions that support business needs - Quickly develop proof-of-concept solution to prove feasibility of technological solutions - Proactively communicate to management and business stake holders - Lead pilot projects to test new technologies and methodologies, evaluating their potential impact on the firm Required qualifications, capabilities, and skills - Formal training or certification on Software Engineering concepts and 5+ years applied experience - Experience using Java or Python, Spring Boot and messaging system. - Excellent programming and problem-solving skills with 100% hands-on development, support, and bug fixes for real-time trading system - Good working knowledge SQL/Stored Procedure - Experience in developing software using Kafka, IBM MQ, Tibco and AMPS as messaging hubs - Exposure to AWS technology is must. - Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. - Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices - Experience in developing transformation projects with latest technological skills in Fixed Income trading system domain - Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale - Experience in working on complex projects supporting system design, testing, and operational stability Preferred qualifications, capabilities, and skills - Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management. - Strong problem-solving, analytical, and communication skills. - Ability to drive broader impact by sharing and contributing best practices - Experience in the banking domain. - AWS certification.