Lead Software Engineer - Java Full Stack

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank Payments Technology team, you have the opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 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 firms business objectives. - Executes 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 problems - Develops secure high-quality production code, reviews, and debugs code written by others - Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems - Leads 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 - Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies - Adds to team culture of diversity, opportunity, inclusion, and respect - Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes - 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 Required qualifications, capabilities, and skills: - Formal training or certification on software engineering concepts and 5+ years applied experience - Hands-on experience with Java, J2EE, Spring, Hibernate, relational and non-relational databases (Oracle PL-SQL, MongoDB) is a must - Demonstrated experience leading effective use of approved AI-assisted software development tools 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 - Working experience in one of the container orchestration frameworks like Docker Swarm or Open-Shift/Kubernetes is a must - Expert knowledge in Micro-service and Event Driven Architecture - Experience in UNIX, Shell scripting around RHEL eco-system is a must - Proficiency in automation and continuous delivery methods - Proficient in all aspects of the Software Development Life Cycle - In-depth knowledge of the financial services industry and their IT systems - Practical cloud-native experience As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank Payments Technology team, you have the opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 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 firms business objectives. - Executes 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 problems - Develops secure high-quality production code, reviews, and debugs code written by others - Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems - Leads 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 - Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies - Adds to team culture of diversity, opportunity, inclusion, and respect - Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes - 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 auto