Lead Systems Operations Engineer

Wells Fargo

Confirmed live today High trust
Closes in 2 days Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NCIrving, TXPhoenix, AZWest Des Moines, IAConcord, CAMinneapolis, MN
Salary
$119,000–$224,000 / yr
Posted
2 days ago
Freshness
Confirmed live today
Closes
Sep 26, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $166k
This role $172k
$106k most similar roles pay here $237k

This role pays more than 50% of similar roles. Most pay $140,000–$193,000 — the shaded band above. At the midpoint, this role pays about $172k versus about $166k 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 39 open roles on FindRole.

Listed pay typically runs $159,000–$254,000 across 24 roles with salary data.

Most-posted roles

View all roles at Wells Fargo

At a glance

TL;DR · Lead Systems Operations Engineer

Lead Systems Operations Engineer joins the Infrastructure Operations and Reliability team to support Middleware Operations through operational analytics, reporting, and process improvement. This role involves developing operational dashboards, scorecards, and executive metrics to provide visibility into service health, demand, capacity, risk, and performance across middleware, messaging, file transfer, and platform services. The engineer will resolve complex technical challenges, manage escalated issues, and collaborate with engineering and architecture teams to enhance service delivery and governance. Key tools and technologies include Power BI, ServiceNow, Splunk, Grafana, AppDynamics, JIRA, Visio, Mural, and Microsoft Copilot for AI-assisted productivity. Technical skills required include Python, PowerShell, and Ansible for automation. The role focuses on solving problems related to infrastructure reliability, service transparency, and operational readiness within the middleware and messaging domain while ensuring compliance and standardizing workflows across core business solutions.

What you'll do

  • Develop operational dashboards, scorecards, and executive reporting frameworks to provide visibility into service health and performance.
  • Analyze complex technical challenges and escalated support issues to determine necessary system enhancements or improvements.
  • Make critical decisions on technical changes while ensuring compliance with established process controls and standards.
  • Manage operational governance routines, including audit activities, compliance reporting, and service reviews.
  • Establish standardized reporting metrics and data quality controls to ensure reliable decision-making information.
  • Document operational processes, workflows, and knowledge assets to promote self-service capabilities and reuse.
  • Utilize Microsoft Copilot and AI technologies to improve reporting, documentation, and overall operational efficiency.

What we're looking for

  • 5+ years of Systems Engineering or Technology Architecture experience.
  • 5+ years of Business Execution, Operations Management, Technology Operations, Operational Excellence, Strategic Planning, Process Improvement, Analytics, or related experience.
  • Experience with enterprise middleware technologies including messaging, managed file transfer, application integration, or API platforms (preferred).
  • Experience creating executive presentations and strategic communications regarding scorecards, KPIs, and reporting (preferred).
  • Experience with Power BI, ServiceNow reporting, or dashboard development (preferred).
  • Knowledge of IT Service Management (ITSM) disciplines such as Incident, Change, Problem, and Knowledge Management (preferred).
  • Familiarity with Site Reliability Engineering (SRE) concepts including observability, reliability, automation, and reduction of operational toil (preferred).
  • Experience with production monitoring tools (Splunk, Grafana, AppDynamics), automation/scripting (Python, PowerShell, Ansible), or AI-assisted productivity tools (preferred).

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