Are you passionate about solving complex business problems through engineering and innovation? At JPMorganChase, we build world-class technology that powers one of the most influential financial institutions on the planet — and we're looking for engineers who are ready to lead, grow, and make a lasting impact.
As a Lead Software Engineer at JPMorganChase within the Technology Solutions team, you will shape the technology solutions that drive strategic initiatives across the firm. You will partner with cross-functional teams to design, build, and optimize scalable platforms while guiding a team of engineers toward technical excellence. This role blends deep technical expertise with leadership, requiring you to balance hands-on engineering with mentorship, strategic thinking, and a commitment to continuous improvement.
Job responsibilities
- Provide oversight and coaching to a team of entry-level to mid-level software engineers working on basic to moderately complex tasks, fostering a culture of accountability and continuous growth
- Make decisions that influence team execution and the implementation of processes and procedures, ensuring alignment with firm-wide standards and delivery goals
- Collaborate with business analysis teams to produce estimates and agile delivery plans, engaging stakeholders to align on priorities and outcomes
- Identify and mitigate delivery risks across the book of work, escalating issues as necessary to maintain momentum and quality
- Design, code, test, and deliver software leveraging firm-wide frameworks and best practices for the ServiceNow platform
- Champion and enhance scrum practices to drive continuous improvement across team processes and delivery cadence
- Drive 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
- Apply 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 advanced applied experience
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security