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Lead Infrastructure Engineer – Retail Branch Change Execution

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Onsite

Lead Infrastructure Engineer – Retail Branch Change Execution

JPMC

Lead Infrastructure Engineer – Retail Branch Change Execution

Skills

Python.NETSplunkAIGitHubJiraServiceNowChange Management

1 month ago

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Important information


Contract type:

Permanent

Location:

Columbus, OH, USA

Work mode:

Onsite

Published on:

15 September 2026

What they need


Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies. 

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

  • Ensure reliable & secure patch and software deployment to ~70,000 devices in our Retail Branches minimal interruption of service to our customers.
  • Drive workstreams or projects consisting of one or more infrastructure engineering technologies, with a primary focus on enterprise software deployment.
  • Architect and implement changes across platforms to resolve issues and modernize technology processes.
  • Design, develop, and troubleshoot creative solutions for complex technical problems.
  • Lead automation initiatives using scripting/programming (Python, PowerShell, .NET) and utilizing GitHub/CoPilot AI/Agentic AI to fully automate software delivery and operational solutions.
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
  • Consider upstream/downstream data, systems, and technical implications; advise on mitigation actions.
  • Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
  • Ensure automated software and security delivery/updates for enterprise platforms.
  • Collaborate with cross-functional teams to ensure seamless integration and performance excellence.
  • Mentor junior engineers and contribute to knowledge sharing within the team.

Required qualifications, capabilities, and skills

  • 5+ years of experience in infrastructure engineering, software deployment, or related fields.
  • Deep knowledge of three or more areas of infrastructure engineering such as: deployment practices, automation + hardware, networking, databases, integration, scaling, resilience, or performance assessments.
  • Experienced knowledge of infrastructure technology and scripting/programming languages (e.g. Python, PowerShell, .NET, etc.)
  • Proven experience leveraging AI and agentic AI to automate and develop enterprise software delivery solutions.
  • Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
  • Strong understanding of cloud infrastructure and multiple cloud technologies, with the ability to operate in and migrate across public and private clouds
  • Demonstrated ability to develop technical and cross-functional knowledge outside of the product domain.
  • Excellent problem-solving skills and ability to execute creative solutions for technical challenges.
  • Strong communication and collaboration skills.

Preferred qualifications, capabilities, and skills

  • Experience deploying enterprise software solutions in large-scale environments.
  • Experience with ServiceNow, Jira, or similar change management and automation tools.
  • Experience with Dynatrace or Splunk
  • Familiarity with security best practices for enterprise software delivery.
  • Experience leading automation projects using AI/agentic AI.
  • Advanced certifications in infrastructure engineering, cloud technologies, AI, SRE, or Software deployment tools.

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