DevOps Lead Software Engineer

Wells Fargo

Closes in 4 days Hybrid

Quick summary

Work type
Hybrid
Location
Concord, CACharlotte, NC
Salary
$143,000–$224,000 / yr
Posted
3 days ago
Closes
Jul 3, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k
This role $184k
$127k most similar roles pay here $234k

This role pays less than 52% of similar roles. Most pay $137,066–$211,200 — the shaded band above. At the midpoint, this role pays about $184k versus about $174k 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 70 open roles on FindRole.

Listed pay typically runs $142,375–$224,000 across 34 roles with salary data.

Most-posted roles

View all roles at Wells Fargo

At a glance

TL;DR · DevOps Lead Software Engineer

Wells Fargo seeks a DevOps Lead Software Engineer to join its Digital Technology & Innovation team, focusing on full-stack engineering for AI/ML platforms. This role involves designing, testing, debugging, and documenting solutions while leading complex technology initiatives and establishing enterprise-wide standards. Key responsibilities include contributing to Generative AI platform development, participating in daily Agile standups, collaborating with various teams to define infrastructure requirements, and driving the adoption of automation-first practices. The ideal candidate has extensive experience with Linux, DevOps, CI/CD pipelines, Terraform, Docker, Kubernetes, GCP, Azure, and cloud-native toolchains, along with strong analytical and communication skills. This position requires hands-on expertise in Generative AI/LLM capabilities, vector databases, and observability stacks to support large-scale cloud migrations and infrastructure as code practices.

What you'll do

  • Lead the design, testing, debugging, and documentation of complex software solutions for enterprise projects.
  • Drive the adoption of automation-first practices by researching industry trends and evaluating new technologies.
  • Collaborate with engineering teams to define infrastructure requirements and support cloud migration initiatives.
  • Contribute to Generative AI platform development, delivering AI/ML models to on-prem and cloud platforms like GCP Vertex AI.
  • Establish enterprise-wide engineering standards and best practices for large-scale technology initiatives.

What we're looking for

  • 5+ years of experience in Linux/Unix environments, build-deploy automation, and configuration management.
  • Proficient in DevOps practices including CI/CD pipelines, Jenkins, GitHub Actions, and Terraform for infrastructure as code.
  • Strong hands-on skills with containerization tools like Docker and Kubernetes, and cloud platforms such as GCP and Azure.
  • Extensive experience in server administration, job creation, troubleshooting across full architecture, and Python programming.
  • Expertise in leading large-scale technology initiatives, establishing engineering standards, and driving automation-first practices.

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