Mainframe Lead Software Engineer at JPMorgan Chase
Mainframe Lead Software Engineer at JPMorgan Chase. Est. up to $200k. Apply with swipeandhired.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Mainframe 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
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
- Plan and execute on the modernization initiatives to migrate from Mainframe to cloud native technologies
- Deliver business objectives on the current Mainframe platform
- Leading and motivating a team of software engineers
- Collaborating on a cross-functional team to execute against product roadmap
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
- 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 methodologies such as CI/CD, Application Resiliency, and Security
- Practical cloud native experience
- Expertise in application, data, and infrastructure architecture disciplines
- Experience with Architectural patterns for Scalability, High Availability, Performance & Disaster Recovery
- 7+ years technical experience with mainframe based applications built with COBOL, VSAM, CICS, JCL, MQ along with TCP/IP messaging.
- Strong experience on mainframe tools and utilities like xpeditor, ZEKE, File Aid, Changeman and AbendAid
- Experience successfully leading and mentoring varying levels of junior Software Engineers
Preferred qualifications, capabilities, and skills
- Experience with Java (or other modern languages) in an Agile environment on large implementations
- Experience with AWS