Lead Infrastructure Engineer - zOS System Programmer

JPMorgan Chase & Co.•Columbus, OH

About The Position

Become a member of a world class Mainframe team where you can contribute significantly to shaping the future of a world-renowned and influential company. Among top performers, you can make a direct and meaningful impact. 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.

Requirements

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.

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