Director of Software Engineering

If you are ready to drive impact as a software engineering leader, this is your opportunity to shape the future of digital banking at JPMorgan Chase. You will lead talented teams, influence technology direction, and foster a culture of technical excellence and continuous learning. Join us to build innovative solutions, partner with business leaders, and advance your career in a dynamic, inclusive environment. Your expertise will help us deliver secure, resilient, and client-focused capabilities. As a Director of Software Engineering in the Asset & Wealth Management International Private Bank Technology organization, you will lead a technical area delivering scalable, secure client-facing capabilities for J.P. Morgan Online International. You will serve as a primary decision maker, combining deep engineering expertise with business understanding to drive innovation and solution delivery. You will remain actively involved in design, implementation, code review, and complex problem-solving while building and developing a strong engineering team. Job Responsibilities: Lead technology and process implementations to deliver scalable, secure, and resilient client-facing digital banking capabilities Remain a hands-on engineering leader, contributing to critical implementation, code review, and diagnosing complex issues Set direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within your technical area Apply knowledge of enterprise-authorized AI-assisted development and automation tools to improve value and support capacity unlock initiatives Carry governance accountability for coding decisions, control obligations, and operational readiness of delivered services Deliver technical solutions that promote reusable capabilities and pragmatic architecture across multiple businesses and domains Influence peer leaders and senior stakeholders, translating client needs and financial workflows into sound engineering decisions Build, develop, and recognize engineering talent, fostering a culture of technical excellence, experimentation, accountability, and continuous learning Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts and advanced applied experience Strong hands-on experience building and operating scalable client-facing applications, with deep Java/JVM, API, and distributed-systems engineering capability Experience developing or leading cross-functional teams of technologists Experience hiring, developing, and recognizing talent, including coaching and performance feedback Experience leading adoption of agentic AI-enabled engineering practices using enterprise-authorized tools Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency, security, and governance Practical cloud native experience, including automated delivery, testing, observability, and operational stability Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Public GitHub repositories or substantive open-source contributions demonstrating hands-on engineering work, with the ability to explain code, design decisions, testing, and outcomes Evidence of curiosity and self-directed learning through prototypes, open-source work, technical experiments, or reusable engineering tools Strong business engagement and communication skills, with the ability to explain technical priorities, risks, and trade-offs to non-technical stakeholders Preferred Qualifications, Capabilities, and Skills: CFA charterholder status, progress through the CFA Program, or equivalent professional experience in financial markets, investment products, portfolio management, or private banking Experience in International Private Banking, wealth or asset management, digital banking, trading, or transaction-sensitive client platforms Native iOS and/or Android application development experience, with the ability to partner effectively with specialist mobile teams Experience creating reusable coding-agent workflows, engineering skills, context libraries, test harnesses, or evaluation tools Full-stack web or cloud-native modernization experience that complements strong back-end engineering