Cloud Platform Engineer (TerraformGithubAzure AI)

Top Skills
1. IaC tools Terraform and GitHub exp
2. Need to understand control policies
3. More Microsoft Azure exp is preferred but also Google Cloud Platform (GCP) is ok too
4. Demonstrated experience on at least three of the following key services: Azure AI Foundry Azure Machine Learning Document Intelligence Azure AI Search Vertex AI

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

Required Qualifications:
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.

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 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