DevOps Engineer

Cloud Technology LeadIn this role, you will:Lead complex technology cloud initiatives including those that are companywide with broad impactAct 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 technology solutionsDesign, optimize, and document the engineering aspects of the cloud platformLead and share understanding of industry best practices and how new technologies influence the cloud technology team to meet deliverables and drive new initiativesReview 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 technical factorsCollaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goalsBuild and enable cloud infrastructure, automate the orchestration for Google Cloud Platforms (GCP) & Microsoft Azure for Wells Fargo EnterpriseWorking in a globally distributed team to provide innovative and robust cloud centric solutionsClosely work with product team and vendors to develop and deploy cloud services to meet customer expectationsGather and analyze data to diagnose the root cause of cloud issues, recommend, and implement solutions to resolve issues in timely mannerRequired qualifications:5+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education3+ years working with Google Cloud Platform (GCP) and/or Microsoft Azure and a proven track record of building complex infrastructure programmatically with Infrastructure as a Code (IaC) tools2+ years of hands-on experience with IaC tools Terraform and GitHubKnowledge and understanding of cloud service offerings such as compute and AI & ML on GCP and/or AzureDemonstrated 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 toolsCloud certification on GCP and/or AzureExperience with Agile, CI/CD, DevOps concepts, and Site Reliability Engineer (SRE) principlesProficient on container-based solution services, have handled 2-3 large scale Kubernetes based infrastructure build out, provisioning of services in Azure or GCPExperience in scripting (Shell, Python)Understanding of Azure cloud service offerings such as AI FoundryUnderstanding of GCP cloud service offerings such as Agentspace, NotebookLM, Agent EngineUnderstanding of Agentic AI frameworks such as ADK, A2A, MCP, LangChain, etc.