Drimva

JPMorgan Chase

Senior Lead Infrastructure Engineer – Network Engineer

Plano, TX · Senior · Full-time · Posted Sep 2, 2026

Experience
5+ years applied experience in infrastructure engineering; no alternatives stated.
Education
Formal training or certification on infrastructure engineering concepts; formal training or certification on technical and network design concepts (e.g., CCIE, CCNP).

About the job

Leads infrastructure engineering for enterprise WAN modernization, designing and operating network solutions while applying validated, enterprise-authorized AI practices to infrastructure workflows.

What you'll do

  • Designs, deploys, configures, and troubleshoots Wide Area Network solutions and network fabrics.
  • Supports Enterprise WAN modernization, infrastructure lifecycle management, performance optimization, and compliance with security and industry standards.
  • Uses and promotes validated, traceable AI-assisted analysis and delivery practices, handling operational data according to sensitivity and security requirements.

What they ask for

  • Formal training or certification in infrastructure engineering concepts and 5+ years of applied experience.
  • Hands-on network engineering experience and formal training or certification in technical and network design concepts (e.g., CCIE, CCNP).
  • Experience configuring and troubleshooting routing and switching protocols, with knowledge of network protocols and IPv4 and IPv6.
  • Experience with infrastructure technologies and scripting languages, data center operations, operating systems or hypervisors, Cisco ASR-class routers, and Arista; demonstrated experience using enterprise-authorized AI with validation and data-sensitivity awareness.

Nice to have

  • Experience with CI/CD and automation tools such as Ansible, Terraform, or Puppet.
  • Working knowledge of high-speed Ethernet, optical transport, switch optics and ASICs, or structured cabling and fiber optics.

Tools

Cisco routers, BGP, OSPF, VXLAN, MPLS, Python, Hyper-V, Arista

AI focus

Uses enterprise-authorized AI to analyze infrastructure signals and document mitigation options, and leads reuse-first AI-assisted delivery and automation practices. Requires validation, traceability, auditability, and attention to data sensitivity, security, and resiliency.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)