
at J.P. Morgan
Bulge Bracket Investment BanksPosted 4 days ago
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**Lead Infrastructure Engineer at JPMorganChase** Drive and shape infrastructure excellence as a Senior Lead Engineer, key member of a high-performing team. Apply extensive infrastructure engineering experience, relevant to Endevor, Jenkins, REXX, and Python, plus 5+ years of proven expertise. Key responsibilities include engineering Endevor inventory models, configuring processors, developing automation, and orchestrating Jenkins pipelines. Ensure traceability, troubleshoot complex failures, and implement DR procedures. Leverage AI capabilities to accelerate infrastructure analysis and design documentation. Collaborate cross-functionally to architect and implement modernizing changes. Bring formal infrastructure engineering training and certification to the role.
- Compensation
- Not specified
- City
- Not specified
- Country
- United States
Currency: Not specified
Full Job Description
Location: OH, United States
As a Lead Infrastructure Engineer at JPMorganChase within the [insert LOB or sub LOB], you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.
Job responsibilities
- Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
- Endevor platform engineering: configure/operate CA-Endevor (inventory models, processors/generates, packages/promotion rules), perform upgrades/maintenance, and ensure stability/DR readiness.
- CI/CD delivery with Jenkins: build pipeline-as-code and shared libraries to automate build/test/promote flows, enforce sequencing, approvals, and environment-specific controls.
- API/CLI + custom wrapper enablement: develop and support versioned wrapper interfaces around Endevor APIs/CLI with consistent error handling, logging, and operational supportability.
- REXX & Python automation: create REXX utilities for z/OS-side operational automation and Python services/scripts for orchestration, integrations, evidence/metadata capture, and notifications.
- Security, traceability, and reliability: implement least-privilege access and audit logging (RACF/ACF2/TSS + Endevor), ensure end-to-end traceability (commitbuildpackage), and lead troubleshooting/RCA across Endevor/Jenkins/wrappers.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
- Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
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