Lead Infrastructure Engineer — AI-Driven Network & Cloud

Aumni; Seattle (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorganChase is seeking a Lead Infrastructure Engineer within Network Services in Seattle to drive infrastructure design and modernization using AI-assisted methods. You will collaborate across platforms, review AI outputs for resiliency and security, and lead initiatives across data center and cloud environments.

The role emphasizes integration of automation, scripting, and infrastructure-as-code practices, with a focus on performance, scalability, and secure operations within a large

Qualifications

• Formal training or certification on infrastructure engineering concepts and 5+ years applied experience.
• Deep knowledge of one or more areas of network infrastructure engineering.
• Experience using enterprise-authorized AI capabilities to support workflows with validation.
• Ability to review and validate AI-assisted recommendations before implementation.

Responsibilities

• Applies technical expertise to projects of moderate scope and develops solutions for problems of moderate complexity.
• Uses enterprise-authorized AI capabilities to accelerate infrastructure analysis and design documentation.
• Drives a workstream of infrastructure engineering technologies and collaborates across platforms to implement changes.
• Considers upstream/downstream data implications and advises on mitigations.
• Applies AI-assisted practices to identify recurring issues and ensure changes are traceable and secure.

Skills

Network infrastructure engineering

AI-assisted infrastructure design

Scripting languages

Reviewing AI recommendations

Data center infrastructure awareness

Education

Formal training or certification in infrastructure engineering

Tools

Ansible

Terraform

Nornir

GitOps workflows

Job description

JPMorganChase is seeking a Lead Infrastructure Engineer within Network Services in Seattle to drive infrastructure design and modernization using AI-assisted methods. You will collaborate across platforms, review AI outputs for resiliency and security, and lead initiatives across data center and cloud environments.

The role emphasizes integration of automation, scripting, and infrastructure-as-code practices, with a focus on performance, scalability, and secure operations within a large