Mainframe Lead Software Engineer

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.
Designs, develops, and troubleshoots end-to-end solutions spanning z/OS mainframe and Java-based platforms, using innovative approaches to solve complex technical problems.
Builds, maintains, and enhances secure, high-quality production code (Java and mainframe components, as applicable); performs code reviews and debug/resolve issues in code authored by others.
Identifies and drives automation and observability improvements to eliminate recurring issues and improve operational stability across applications and platforms.
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.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in Java, with strong experience integrating distributed applications with z/OS mainframe capabilities (e.g., batch/JCL, CICS/IMS, MQ, DB2, datasets/USS), as applicable to the role.
• Proven hands-on experience delivering system design, application development, testing, and production support across enterprise platforms.
• Demonstrated proficiency with automation and continuous delivery practices, including building and maintaining CI/CD pipelines for distributed and mainframe components, where relevant.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile engineering practices, including CI/CD, application resiliency patterns, and secure engineering principles.
• In-depth knowledge of the financial services industry and their IT systems.
• Prior experience working on Agile teams.
• Practical cloud native experience.

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.