Lead Software Engineer - Payments Projects

JPMorganChase•Tampa, FL

About The Position

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 the 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 conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Requirements

Formal training or certification on Software Engineering concepts and 5+ years applied experience
Experience managing software projects across cross functional teams, building sustainable processes and coordinating release schedules
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 practices
Experience with software development best practices and experience establishing methods, tools, and process improvements for cross-team initiatives
Experience with Cloud Platform or Cloud technologies
Experience of software engineering practices for the full software development life cycle, including build processes, testing, and operations
Influencing Skills – a proven ability to operate in a highly collaborative, yet decisive and results-oriented manner

Nice To Haves

Experience working with and leading large geographically spread teams
Stakeholder management and communication with senior level and proactive escalations of roadblocks
Degree in Computer Science, Computer Engineering, Mathematics, Engineering or a related technical field
Exposer to AI - using python, AI, Copilot in VScode/Intellij

Responsibilities

Manage Scrum team, engineer's backlog, ensuring JIRA hygiene, Say/Do ratios, Agile maturity
Partner with business analysts, product and operations to ensure that scope is clear and well documented
Work with technology and business teams (AD, QA, UAT, Ops, Product) to produce, update and deliver on a comprehensive project schedule
Maintain and monitor list of key project-level dependencies including across application groups and proactively track through to completion
Facilitate key project level meetings and meet the relevant information demands for those.
Ensure decisions are made within governance and identified governance meetings have clear agenda, quorum members, reports and minutes published.
Drive project adherence to the agreed project lifecycle
Ensure the project adheres to project risk and issue standards and maintain the project risk and issue log (driving remediation/ resolution activities through to closure).
Drive effective escalation management of risks and issues from projects and releases into the program
Manage stakeholder communications at all levels across the firm and be responsible for maintaining a project stakeholder and communications plan
Drives 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