About this role:

Wells Fargo is seeking a Lead Infrastructure Engineer within the Core Infrastructure Services Engineering team to deliver services that provide AI & ML capabilities across multiple clouds.

In this role, you will:

• Lead complex technology Cloud initiatives including those that are companywide with broadimpact
• Act as a key contributor in automating the provisioning of Cloud Infrastructure using Infrastructure as a Code (IaC)
• Make decisions in developing standards and best practices for engineering and large-scale technologysolutions
• Design, optimize, and document the engineering aspects of the Cloudplatform
• Lead and share understanding of industry best practices and how new technologies influence the Cloud technology team to meet deliverables and drive newinitiatives
• Review and analyze complex, large-scale technology solutions in Cloud for strategic business objectives and solving technical challenges that require in-depth evaluation of multiple parameters, including intangibles or unprecedented technicalfactors
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achievegoals
• Build and enable Cloud infrastructure, automate the orchestration for Google Cloud Platforms (GCP) & Microsoft Azure for Wells Fargo Enterprise
• Working in a globally distributed team to provide innovative and robust Cloud centricsolutions
• Closely work with Product Team and vendors to develop and deploy Cloud services to meet customerexpectations
• Gather and analyze data to diagnose the root cause of Cloud issues, recommend and implement solutions to resolve issues in timelymanner.

Required Qualifications:

• 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
• 3+ years working with Google Cloud Platform (GCP) and/or Microsoft Azure and a proven track record of building complex infrastructure programmatically with Infrastructure as Code (IaC)tools
• 2+ years of hands-on experience withIaCtools Terraform and GitHub
• Knowledge and understanding of Cloud service offerings such as Compute andAI & ML on GCP and/or Azure
• Demonstrated experience on at least three of the following key services: Azure AI Foundry, Azure Machine Learning, Document Intelligence, Azure AI Search, Vertex AI, Document AI, LLMs, etc.

Desired Qualifications:

• Exposure to Cloud governance and logging/monitoring tools
• Cloud certification on GCP and/or Azure
• Experience with Agile, CI/CD, DevOps concepts and Site Reliability Engineer (SRE) principles
• Proficient on container-based solution services, have handled 2-3 large scale Kubernetes based infrastructure build out, provisioning of services in Azure or GCP
• Experience in scripting (Shell, Python)
• Understanding of Azure cloud service offerings such as AI Foundry
• Understanding of GCP cloud service offerings such as Agentspace, NotebookLM, Agent Engine
• Understanding of Agentic AI frameworks such as ADK, A2A, MCP, LangChain, etc.
• Good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails,Vnets) and exposure to database, cloud security, AD, authentication methods,RBAC
• Knowledge and understanding of Cloud service offerings on Security, Data Protection and Security policyimplementations
• Intermediate understanding of Cloud computing concepts like landing zone and Blueprints
• Excellent verbal, written, and interpersonal communicationskills
• Ability to articulate technical solutions to both technical and businessaudiences
• Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrixstructure
• Delivery focus and willingness to work in a fast-paced, enterpriseenvironment.

Job Expectations:

• Willingness to work on-site at stated location on the jobopening
• This position offers a hybrid work schedule
• This position is not eligible for Visa sponsorship.

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Posting End Date:

*Job posting may come down early due to volume of applicants.