Sr. Lead Infrastructure Engineer

JPMorgan Chase & Co.•Columbus, OH

7h•Onsite

About The Position

As a Lead Infrastructure Engineer at JPMorgan Chase within Infrastructure Platforms, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. You will continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise. This role involves applying technical expertise and problem-solving methodologies to projects of moderate scope, driving workstreams or projects consisting of one or more infrastructure engineering technologies. You will work with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes. This role executes creative solutions for the design, development, and technical troubleshooting for problems of moderate complexity, strongly considering upstream/downstream data and systems or technical implications and advising on mitigation actions. A key aspect of this role is to drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns. You will apply 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.

Requirements

Initialize / add new DASD volumes and Add new tape volumes. Perform the space management activities such as VTOC resizing, Defrag, Compress / Reclaim / Release / Cleaning of datasets.
Manage and Define SMS rules and ACS routines along with reorganization of storage dataset (HSM CDS & Catalog file).
Catalog Management and reorganization using Catalog recovery Plus.
Exposure to audit and knowledge of RACF/ACF2 security rules
Knowledge of various storage products like HSM, Vantage, STOPX37, DSS, JCLs, VSAM, CA1, CSM, DS8K, VTS (TS7700’s) and GDPS replication. Adopt the given technology to meet the drift of customer and business requirements.
Problem determination and resolution within expected time frame. Root Cause Analysis preparation and meeting Service level agreement for submission.
Participating in 24x7 on call and off-hours technology events
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

Nice To Haves

Disaster recovery planning and performing the recovery test (Tape recovery / DASD Replication / Tape Replication) and Managing the Copy services / GDPS.
Develop, document and maintain procedures for system utilities such as backup/restore, performance tuning and configuration of environments as well as incremental backups as required.
Skilled in programming in REXX or other languages strongly desired
Exposure to ZOWE or other mainframe AI capabilities
Effective communication and team skills with an ability to cooperate, present to and participate with peers/team members
Developing automation, tooling, reports, and utilities to assist in mainframe access administration

Responsibilities

Applies technical expertise and problem-solving methodologies to projects of moderate scope
Drives a workstream or project consisting of one or more infrastructure engineering technologies
Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes
Executes creative solutions for the design, development, and technical troubleshooting for problems of moderate complexity
Strongly considers upstream/downstream data and systems or technical implications and advises on mitigation actions
Adds to team culture of diversity, opportunity, inclusion, and respect
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