Lead Infrastructure Engineer – Retail Branch Change Execution
JPMorgan Chase · Columbus, United States · 13d ago
Staff / Lead / PrincipalOn-siteDevOps, SRE & Infrastructure
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
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
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.