{"schemaVersion":"jobsearcher.job.v1","id":"05cb09c014583a8ce0445bd8","url":"https://jobsearcher.com/jobs/05cb09c014583a8ce0445bd8","canonicalUrl":"https://jobsearcher.com/jobs/05cb09c014583a8ce0445bd8","title":"Lead Software Engineer - Java Spring Boot","description":"We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.\r\nAs a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, 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.\r\nJob responsibilitiesExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\r\nDevelops secure high-quality production code, and reviews and debugs code written by others\r\nIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\r\nLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture\r\nDrives 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.\r\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.\r\nLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\r\nAdds to team culture of diversity, opportunity, inclusion, and respect\r\nRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 5+ years hands on Software Development Life Cycle experience\r\nExperience implementing solutions using Java, SQL, UI frameworks, Design patterns, microservices, Cloud native architecture, Angular/React, RESTful APIsfor enterprise-scale applications.\r\nExperience withSQL performance tuning, JDBC, and ORM frameworks (Hibernate/JPA)\r\nStrong experience in various SQL and NoSQL datastores including Oracle, MongoDB\r\nExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages\r\nDemonstrated 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.\r\nStrong 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\r\nSolid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\r\nProficiency in unit testing frameworks such asJUnitandMockitofor ensuring code quality.\r\nDeep knowledge of messaging platforms such asApache Kafka\r\nPreferred qualifications, capabilities, and skillsFamiliarity withDevOps practices, containerization and orchestration\r\nExposure toAI systemssuch asCopilot, Claude\r\nExposure to AWS technology stack#J-18808-Ljbffr","company":"JPMorgan Chase","rawCompany":"jpmorgan chase","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-10-10T01:16:41.559Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Software Engineer - Java Spring Boot","description":"We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.\r\nAs a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, 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.\r\nJob responsibilitiesExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\r\nDevelops secure high-quality production code, and reviews and debugs code written by others\r\nIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\r\nLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture\r\nDrives 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.\r\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.\r\nLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\r\nAdds to team culture of diversity, opportunity, inclusion, and respect\r\nRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 5+ years hands on Software Development Life Cycle experience\r\nExperience implementing solutions using Java, SQL, UI frameworks, Design patterns, microservices, Cloud native architecture, Angular/React, RESTful APIsfor enterprise-scale applications.\r\nExperience withSQL performance tuning, JDBC, and ORM frameworks (Hibernate/JPA)\r\nStrong experience in various SQL and NoSQL datastores including Oracle, MongoDB\r\nExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages\r\nDemonstrated 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.\r\nStrong 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\r\nSolid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\r\nProficiency in unit testing frameworks such asJUnitandMockitofor ensuring code quality.\r\nDeep knowledge of messaging platforms such asApache Kafka\r\nPreferred qualifications, capabilities, and skillsFamiliarity withDevOps practices, containerization and orchestration\r\nExposure toAI systemssuch asCopilot, Claude\r\nExposure to AWS technology stack#J-18808-Ljbffr","datePosted":"2026-10-10T01:16:41.559Z","dateModified":"2026-10-10T01:16:41.559Z","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"05cb09c014583a8ce0445bd8"},"url":"https://jobsearcher.com/jobs/05cb09c014583a8ce0445bd8"}}