Lead Software Engineer - Full-stack, Cloud & AI

Are you ready to make a real impact in cloud financial management technology? At JPMorgan

Chase, you'll collaborate with talented teams to deliver secure, scalable, and market-leading products. Here, you can push the boundaries of what's possible while growing your skills and advancing your career. We value creativity, innovation, and a passion for technology. Join us and be part of a team where your contributions matter.

As a Lead Software Engineer at JPMorgan

Chase within the Cloud Financial Management technology team, you will play a key role in designing and delivering trusted technology solutions. Working within an agile environment, you will collaborate with diverse teams to support the firm's business objectives, drive technical excellence, and foster a culture of innovation and continuous improvement. Together, we'll build solutions that make a meaningful difference.

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems

Develops secure and high-quality production code, and reviews and debugs code written by others

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.

Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

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 architecture

Required qualifications, capabilities, and skills

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

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

Advanced proficiency in one or more front-end frameworks, including React/Angular Advanced proficiency in one or more backend programming languages, including Python or Java Proficiency in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security

Practical cloud-native development 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

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

Hands-on experience building and operating data pipelines (e.g., ETL/ELT patterns, orchestration/scheduling, monitoring, and data quality checks) in a production environment

Preferred qualifications, capabilities, and skills

Experience leading engineering teams within a large,…