DevOps Engineering,

Job Description:

In this role, you will:

• Lead complex technology Cloud initiatives including those that are companywide with broad impact
• 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 technology solutions
• Design, optimize, and document the engineering aspects of the Cloud platform
• Lead and share understanding of industry best practices and how new technologies influence the Cloud technology team to meet deliverables and drive new initiatives
• 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 technical factors
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• 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 centric solutions
• Closely work with Product Team and vendors to develop and deploy Cloud services to meet customer expectations
• Gather and analyze data to diagnose the root cause of Cloud issues, recommend, and implement solutions to resolve issues in timely manner

• 5+ years of Software Engineering 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 with IaC tools Terraform and GitHub
• Knowledge and understanding of Cloud service offerings such as Compute and AI & 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.

• 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 policy implementations
• Intermediate understanding of Cloud computing concepts like landing zone and Blueprints
• Excellent verbal, written, and interpersonal communication skills
• Ability to articulate technical solutions to both technical and business audiences
• Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrix structure
• Delivery focus and willingness to work in a fast-paced, enterprise environment