Lead Software Engineer - Java & AI

Join us on the Graphite team, where you can help deliver a best-in-class payments processing platform that powers global expansion. You will work on mission-critical systems, leveraging your passion for technology and AI to create high-performing, low-latency solutions. Experience the excitement of building impactful products that support diverse payment flows. We offer a collaborative, agile environment where your ideas and expertise are valued, and your work directly supports business growth. Job Summary: As a Lead Software Engineer at JPMorgan Chase within the Payments team, you will develop technical solutions for a fully cloud-based payments application, focusing on high performance and low latency. You will build new payment flows end to end, from understanding business requirements to coding and supporting solutions in production. In this agile team, you will enhance, build, and deliver trusted technology products, contributing across multiple technical areas to support our objectives. Your role is central to driving innovation and operational stability in a rapidly expanding business.. Job Responsibilities: Execute creative software solutions, design, development, and technical troubleshooting Develop secure, high-quality production code and review and debug code written by others Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes Establish consistent validation standards, including secure coding, peer review, and automated testing Promote 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 Lead evaluation sessions with internal teams to assess architectural designs and technical credentials Lead communities of practice across Software Engineering to promote new and leading-edge technologies Contribute to a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Hands-on coding experience with a proven track record for success Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations Experience coaching engineers on safe, compliant adoption of AI within delivery practices Practical experience delivering system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages, ideally Java Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) Knowledge of the financial services industry, IT systems, and practical cloud-native experience Preferred Qualifications, Capabilities, and Skills: Hands-on AI experience with coding and understanding core concepts Ability to self-drive delivery and take ownership end to end