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Wells Fargo is seeking a Lead Infrastructure Engineer for our Enterprise CI/CD DevOps Platform Services team in the Chief Technology Office (CTO) line of business. This opportunity is available for a motivated and experienced Infrastructure Engineer with DevOps experience who can work closely with application development teams to support the applications and maintain daily operational requirements for an enterprise-wide effort. Engineers are responsible for interfacing with the application development teams to assist them in determining the most efficient and value-added method of automating their application Lifecycle development activities that move their applications through the process to implementation. In addition to these consultative activities, the Engineer will work with the application teams, technology partners, and all relevant teams to support the application team and their applications into the DevOps automation service.
Job Responsibility
Lead complex initiatives to develop infrastructure to provide solutions for business applications
Participate in various projects intended to continually improve or upgrade the infrastructure
Evaluate internal and external software solutions which could be leveraged to meet target state architecture goals
Review and analyze high impact outages to ensure the proper processes and procedures are in place to avoid problems in the future
Design, build, deploy and maintain infrastructure solutions through collaborative efforts with the team and third-party vendors
Design, code, test, debug and document programs using Agile development practices
Make decisions in technical designs, implementation plans and identify project risks and resource requirements
Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success
Recommend courses of action to maintain cost effectiveness and achieve results
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Design, build, and operate highly available, secure, and performant infrastructure across Windows, Linux, and multi‑cloud environments
Lead automation initiatives to eliminate manual toil, accelerate incident response, and prevent recurring issues
Implement and evolve observability platforms using SLIs/SLOs, Prometheus, Grafana, and cloud-native monitoring tools
Drive proactive monitoring, alerting, logging, and telemetry across hybrid and cloud environments
Apply SRE practices to move teams from reactive to proactive, data‑driven, and increasingly self‑healing systems
Design and integrate intelligent automation and AI‑driven tooling for observability, predictive maintenance, and vulnerability remediation
Serve as a lead technical advisor for CI/CD and deployment platforms including Artifactory, Azure DevOps, Jenkins, UrbanCode Deploy, Harness, and GitHub Actions
Requirements
5+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of experience with Artifactory Configuration through Artifactory UI
3+ years of experience with Artifactory Administration or Platform Infrastructure
3+ years of experience with build and dependency management tools such as Maven, MSBuild, Gradle, or Node.js
Nice to have
5+ years of experience in systems administration, DevOps, or Site Reliability Engineering (SRE)
Experience supporting an enterprise-level environment
Experience with interpreting and writing with scripting languages such as python, PowerShell, and experience with Linux OS
Ability to interact with all levels of an organization including management
Strong team or technical leadership experience
Strong verbal, written, and interpersonal communication skills
Good analytical skills with high attention to detail and accuracy
Ability to work effectively in both a team environment and independently
Familiarity with OpenShift (OCP), Kubernetes, and container‑based platforms
Operational and trouble shooting skills spans over multiple build and deploy tools
Awareness of responsible AI usage, including security and validation considerations