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