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As a Lead Software Engineer at JPMorganChase within Cash Asset Management, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDevelop secure and high-quality production code, and review and debug code written by othersDrive 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 teamApply 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 automationIdentify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical crRequired qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and advanced applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced proficiency in one or more programming languagesDemonstrated experience leading effective use of enterprise-authorized 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 securityStrong 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 practicesProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityIn-depth knowledge of the financial services industry and their information technology systemsPractical cloud native experience
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team
