Senior Lead Software Engineer - Java, React, AI

At JPMorgan

Chase, we build technology that powers one of the world's most important financial institutions — and we want you to be part of it. You'll have the opportunity to lead complex engineering challenges, grow your expertise, and collaborate with talented teams across the globe. We invest in our people, providing the tools, resources, and environment to help you thrive and advance your career.

If you're passionate about delivering technology that makes a real difference, this is the role for you.

As a Senior Lead Software Engineer at JPMorgan

Chase within the AI & ML Data Platforms team, 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. You will drive significant business impact through your capabilities and contributions, applying deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Your leadership will help shape the direction of our engineering community and the future of our technology.

Job responsibilities

Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors

Develop secure and high-quality production code, and review and debug code written by others

Drive decisions that influence product design, application functionality, and technical operations and processes

Serve as a subject matter expert in one or more areas of focus, sharing knowledge and best practices across the engineering community

Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices across the Software Development Life Cycle Influence peers and project decision-makers to consider the use and application of leading-edge technologies

Foster a 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 (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

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and advanced applied experience

Hands-on practical experience delivering system design, application development, testing, and operational stability

Advanced proficiency in one or more programming languages with a strong focus on code quality and maintainability

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile)
Ability to tackle design and functionality problems independently with little to no oversight

Practical cloud native experience with a strong understanding of scalability, resiliency, and security principles

Background in Computer Science, Computer Engineering, Mathematics, or a related technical field

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

Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

Preferred qualifications, capabilities, and skills

Experience designing and developing modern, responsive front-end interfaces…