01Overview
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 JPMorganChase within Commercial & Investment Bank, 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 delivering critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.
Job Responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDevelops secure high-quality production code, and reviews and debugs code written by othersDrives 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.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 architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, opportunity, inclusion, and respectManages stakeholder relationships and the teams work in accordance with compliance standards, service level agreements, and business requirements.
Required Qualifications, Capabilities, and Skills
Formal training or certification in software engineering concepts with 5+ years of applied experienceAdvanced experience designing and building scalable applications using Java and Spring BootExtensive hands-on experience with RDBMS, particularly Oracle and PostgreSQL, including database design, query optimization, and performance tuning.Advanced experience developing modern, responsive user interfaces using ReactProven experience leading technology projects end-to-end, from planning through delivery and production readiness.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 practicesStrong hands-on experience with SQL and NoSQL databases and data-driven application designAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.Ability to define technical strategy, drive best practices, and influence engineering teamsDeep understanding of financial services, regulatory reporting, and enterprise IT systems with strong foundation across modern technical domains (e.g., AWS, AI/ML)
Preferred Qualifications, Capabilities, and Skills
Interest in or awareness of AI advancements and their practical applications in software engineering.Proven experience fostering a culture of knowledge sharing, mentorship, and professional development within a team setting.Strong soft skills, including presenting, negotiating, mentorship, and stakeholder management. .
