Drimva

JPMorgan Chase

Lead Infrastructure Engineer

$147K–$190K

Plano, TX +3 · Full-time · Posted Oct 2, 2026

Location
Plano, TX
Columbus, OH
Jersey City, NJ
Wilmington, DE
Experience
5+ years applied experience.
Education
Formal training or certification on infrastructure engineering concepts

About the job

Leads infrastructure engineering and modernization for BI platforms across Windows/Linux and AWS/SaaS environments, delivering secure, resilient changes and operational improvements.

What you'll do

  • Lead cross-domain infrastructure workstreams, coordinating scope, dependencies, risks, and delivery with partner teams and vendors.
  • Automate and standardize infrastructure delivery; troubleshoot platform and connectivity issues and drive root causes to resolution.
  • Apply security, compliance, and change controls, maintain operational documentation, and use authorized AI capabilities to support engineering workflows.

What they ask for

  • Formal training or certification in infrastructure engineering concepts and 5+ years of applied experience.
  • Deep knowledge of infrastructure engineering and cloud infrastructure, including experience operating in and migrating across public and private clouds.
  • Experience with Snowflake and Databricks, plus a specific infrastructure technology and scripting languages.
  • Hands-on Windows and Linux operations, infrastructure automation, observability, incident management, and cross-team delivery experience.

Nice to have

  • Experience supporting enterprise Tableau at scale, including operations, monitoring, upgrades, and troubleshooting.
  • Experience with BI platforms such as Tableau, ThoughtSpot, or Sigma, SaaS BI hosted on AWS, and identity/SSO integrations.

Pay

USD 147,250.00-$190,000.00 base salary

Tools

Windows, Linux, AWS, Snowflake, Databricks, Infrastructure as Code, Python, Tableau

AI focus

Uses enterprise-authorized AI to support infrastructure analysis, design documentation, delivery and automation routines, and remediation evaluation; validates outputs and handles operational data according to sensitivity, security, resiliency, and auditability requirements.

Model-written summary · the original posting is authoritative

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