Lead Infrastructure Platform Support Engineer

Wells Fargo

Hybrid

Quick summary

Work type: Hybrid
Location: Charlotte, NCIrving, TXChandler, AZConcord, CAIselin, NJ
Salary: $119,000–$224,000 / yr
Posted: 4 days ago
Closes: Jun 26, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k

This role $172k

$106k most similar roles pay here $237k

This role pays less than 54% of similar roles. Most pay $142,400–$209,750 — the shaded band above. At the midpoint, this role pays about $172k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 49 open roles on FindRole.

Listed pay typically runs $159,000–$300,000 across 34 roles with salary data.

Most-posted roles

View all roles at Wells Fargo

At a glance

TL;DR · Lead Infrastructure Platform Support Engineer

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Wells Fargo is hiring a Lead Infrastructure Engineer to join its AI Platforms and Model Support Group within Digital Technology and Innovations, focusing on designing and maintaining scalable infrastructure for enterprise Generative AI and Predictive AI workloads. This senior-level role involves technical leadership in GPU-accelerated environments, Kubernetes platforms, and advanced AI infrastructure patterns, collaborating closely with platform, application, and vendor teams to ensure secure and performant solutions. The ideal candidate has extensive experience in Linux systems, Kubernetes, CI/CD pipelines, and supporting AI/ML platforms, along with hands-on expertise in OpenShift, GPU operations, observability tools like Grafana and Splunk, and hybrid/multi-cloud AI platform management. This role requires deep knowledge of cloud-native services, networking, identity, cost optimization, and strong monitoring skills for AI signals such as inference latency and GPU utilization.

Skills

Kubernetes Linux CI/CD OpenShift GPU Grafana Terraform Docker Prometheus Python PostgreSQL AWS Azure GCP GitOps Ansible Helm Flux Argo CD

What you'll do

Design and build highly scalable, resilient infrastructure for AI workloads using Kubernetes and OpenShift.
Operate GPU-accelerated environments to support large-scale AI factory compute architectures.
Ensure secure, performant, and production-grade AI solutions through collaboration with platform teams.
Troubleshoot complex end-to-end CI/CD pipelines and Linux systems issues.
Monitor AI signals such as inference latency and GPU utilization for performance tuning.

What we're looking for

5+ years of experience troubleshooting complex end-to-end architectures, including CI/CD pipelines.
5+ years of Linux systems administration experience.
4+ years of hands-on support for AI/ML platforms.
4+ years of Kubernetes and container platform production support experience.
Experience with OpenShift in GPU-enabled, multi-tenant environments and designing or operating GPU SuperPods.
Deep expertise in observability using tools like Grafana, Splunk, and custom telemetry pipelines.

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