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You’ll collaborate with talented professionals in a dynamic, agile environment that values your ideas and encourages growth. At JPMorganChase, we empower you to push boundaries, develop your skills, and make a real difference. Experience a culture that celebrates diversity, fosters inclusion, and supports your career journey.\nJob Summary:\nAs a Senior Lead Software Engineer in the Corporate Sector, you will play a pivotal role in an agile team dedicated to building and delivering trusted, market-leading technology products. You will leverage your deep technical expertise to solve complex challenges across multiple technologies and applications. Your leadership will drive business impact, foster innovation, and ensure the stability and scalability of our solutions. You’ll help shape our team culture and contribute to our mission of delivering excellence.\nJob Responsibilities:\nLead end-to-end engineering delivery across the full software development lifecycle for modern application platforms.\nLeverage technologies such as Java, React, AWS, and related cloud-native services and tooling.\nOwn the “you build it, you own it” model-design, build, test, release, and support solutions, ensuring performance and continuous improvement.\nCollaborate with cross-functional stakeholders to perform root cause analysis, implement production changes, and drive resiliency improvements.\nDrive operational excellence by enhancing observability, alerting, automation, and post-incident reviews.\nMentor and guide engineers through coaching, design and code reviews, and best-practice reinforcement.\nDrive adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed.\nApply strong knowledge of the SDLC/toolchain and AI-assisted automation to scale repeatable patterns and improve productivity.\nDevelop and support AI/ML-enabled approaches for troubleshooting and incident resolution.\nAct as a collaborative team player and engineering leader, communicating clearly and coordinating effectively.\nRequired Qualifications, Capabilities, and Skills:\nFormal training or certification on software engineering concepts and applied experience (follow local country guidance as applicable).\nHands-on experience in system design, application development, testing, and operational stability.\nAdvanced proficiency in one or more programming languages.\nDemonstrated experience leading the use of enterprise-authorized AI-assisted software development tools, with the ability to set team expectations for validating AI outputs.\nStrong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling, and compliance with resiliency and security standards.\nAbility to independently 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