Drimva

JPMorgan Chase

Lead Infrastructure Engineer : Neovest

Pleasant Grove, UT · Full-time · Posted Oct 22, 2026

Experience
5+ years of applied infrastructure engineering experience; five or more years across platform engineering, network engineering, network security, infrastructure operations, cybersecurity controls, or a closely related discipline.
Education
Formal training or certification on infrastructure engineering concepts

About the job

Leads infrastructure engineering work across network, cloud, security, and endpoint platforms, including production deployments, troubleshooting, modernization, and AI-assisted workflows.

What you'll do

  • Designs, implements, troubleshoots, and coordinates infrastructure changes across platforms and environments, including deployment, rollback, validation, and monitoring.
  • Administers network and cloud infrastructure, including firewalls, VPNs, load balancing, DNS, and hybrid networking.
  • Remediates security and endpoint issues, supports user and virtual desktop environments, and maintains operational and governance documentation.

What they ask for

  • Formal training or certification in infrastructure engineering concepts and 5+ years of applied experience.
  • Deep knowledge of an infrastructure technology and scripting languages, plus cloud infrastructure and multiple cloud technologies.
  • Experience using enterprise-authorized AI for infrastructure workflows, validating recommendations and handling data sensitively.
  • Experience supporting enterprise platforms and production deployments, with a broad infrastructure and security foundation.

Nice to have

  • Experience in regulated financial services, trading, market data, or other high-availability environments.
  • Experience with the listed infrastructure, security, automation, cloud, and platform tools and technologies.

Tools

Palo Alto, Panorama, GlobalProtect VPN, Cisco, F5 BIG-IP, AWS, GCP, Azure

AI focus

Uses enterprise-authorized AI to support infrastructure analysis, design documentation, and automation; validates AI-assisted outputs and protects sensitive operational data.

Model-written summary · the original posting is authoritative

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