As a Lead Infrastructure Engineer - zOS System Programmer at JPMorgan Chase within the Corporate Technology, Infrastructure Platforms, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way.

Job responsibilities

• Applies deep technical expertise and problem-solving methodologies focused on analyzing complex data and systems, anticipating issues, and finding ways to mitigate risk
• Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes
• 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
• Responsible for infrastructure engineering in accordance with business requirements
• Drives results and implements multiple complex programs
• Drives thought leadership within the product line
• Executes work according to compliance standards, risk and security, and business objectives
• Considers upstream/downstream system or technical implications and advises on mitigation actions
• Advises junior engineers and technologists
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong AI mindset and curiosity to experiment with new tools.
• 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
• Strong Mainframe Systems Programming including a deep understanding of z/OS Concepts, JCL, JES, SDSF, VSAM, Catalog management, SMP/E, USS, Parallel Sysplex, IBM system utilities and some of the IBM/Broadcom CA/ BMC Compuware software artifacts.
• Experience using SMP/E to install and maintain zOS and Independent Software vendor products such as CA7, Control-M, Zeke, Dynatrace, Thruput Manager.
• Experience using vscode, zOWE explorer, IBM zOpen editor, and GITHUB copilot to interact with the Mainframe.
• Critical thinking and problem-solving skills with clear communication
• Understanding or have experience with agile and lean philosophies
• Ability to collaborate with different roles to achieve common goals

• Software development experience in one or more general purpose programming languages: Assembler, REXX, Unix Scripting, z/OSMF Workflows, Python etc.