Drimva

JPMorgan Chase

Principal Infrastructure Engineer - Employee Platforms

$195K–$260K

Columbus, OH +1 · Principal · Full-time · Posted Oct 7, 2026

Location
Columbus, OH
Jersey City, NJ
Experience
15+ years of applied infrastructure technology experience; 7+ years in principal engineering or senior leadership roles.
Education
Formal training or certification in computer science, engineering, or a related discipline; advanced degree is a plus.

About the job

Owns the multi-year hardware strategy and governance for virtual desktop infrastructure and related data center services, guiding investment decisions and cross-functional delivery.

What you'll do

  • Define hardware strategy, investment roadmaps, and standards for infrastructure services.
  • Build business cases and lead hardware decisions using cost-value analysis and market, vendor, architecture, and lifecycle assessments.
  • Coordinate lifecycle governance across engineering, operations, facilities, procurement, cybersecurity, and risk; report capacity, cost, reliability, and control KPIs.

What they ask for

  • Formal training or certification in computer science, engineering, or a related discipline.
  • 15+ years of applied infrastructure technology experience and 7+ years in principal engineering or senior leadership roles.
  • Ownership of enterprise data center hardware strategy, including high-value decisions, measurable business impact, and lifecycle risk management.
  • Expertise in storage architecture, data center networking, rack-level efficiency, and financially rigorous business cases in regulated environments.

Nice to have

  • Experience in financial services or similarly regulated sectors; end-user compute or virtual desktop infrastructure partnerships.
  • Hardware governance, telemetry-driven capacity planning, or an advanced degree in engineering, computer science, or a related field.

Pay

USD 194,750.00-$260,000.00 base salary

Tools

virtual desktop infrastructure, storage, networking, rack design

AI focus

Experienced in leveraging AI in different aspects of the role to accelerate outcomes.

Model-written summary · the original posting is authoritative

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