We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Broker Dealer Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
Define and execute the mainframe technology strategy in alignment with business objectives and the broader Broker Dealer Platform vision.
Lead the design, with hands-on development, and implementation of mainframe solutions that support business objectives and operational needs.
Serve as the primary liaison between technology and business teams, ensuring mainframe solutions address critical business needs and drive value.
Oversee the delivery of mainframe projects and services, ensuring quality, timeliness, and alignment with business priorities.
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.
Leverage deep business knowledge to identify opportunities for process automation and operational efficiency and STP improvements across mainframe-supported functions.
All mainframe activities must operate under stringent controls and oversight to ensure compliance with regulatory requirements, organizational policies, and risk management standards.
Build and maintain strong relationships with senior business leaders, influencing decision-making and advocating for technology-driven business solutions.
Drive modernization initiatives, including mainframe-to-cloud migration, data integration with distributed platforms, and adoption of hands-on experience in usage of AI in everyday work.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Minimum 10 years of experience with hands-on development in mainframe technologies (COBOL, JCL, DB2, CICS, VSAM, MQ, etc.), with at least 3 years in a leadership role.
Demonstrated, comprehensive business knowledge and experience partnering with senior business stakeholders.
Deep understanding of Post Trade business (Trade Processing, Settlements/Book keeping/ Statements/ Product & Pricing and Accounting concepts)
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
Proven track record of leading large-scale mainframe initiatives and delivering business value.
Strong strategic thinking, leadership, and communication skills.
Understanding of risk, compliance, and regulatory requirements in the financial services industry.
Usage of AI tools (Github Co-pilot, IBM Watson X or equivalent tools) in the software development life cycle.
Preferred qualifications, capabilities, and skills
Distributed and Cloud technology (AWS, Azure) exposure would be a plus.
Experience with mainframe modernization, data integration, and digital transformation is highly desirable.
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