Lead Infrastructure Engineer – Retail Branch Change Execution

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 150,000 - 185,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Infrastructure Engineer to join our team and deliver infrastructure and performance excellence across enterprise deployments.

You will drive automation efforts, mentor junior engineers, and collaborate with cross-functional teams to ensure secure patching and reliable software delivery for tens of thousands of devices. The role emphasizes AI-assisted tooling, cloud knowledge, and strong problem-solving and communication skills to shape the future of our

Qualifications

• 5+ years of experience in infrastructure engineering, software deployment, or related fields.

Responsibilities

• Ensure reliable & secure patch and software deployment to ~70,000 devices in our Retail Branches minimal interruption of service to our customers.

Skills

Infrastructure engineering

Software deployment

Automation

Python

PowerShell

.NET

AI automation

Cloud computing

Problem solving

Cross-functional knowledge

Tools

GitHub

CoPilot AI

Agentic AI

ServiceNow

Jira

Dynatrace

Splunk

Job description

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.