Role and Responsibilities

• 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 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 GCP for Wells Fargo Enterprise
• Work in a globally distributed team and provide innovative and robust Cloud centric solutions
• Closely work with Product Team and vendors to develop and deploy Cloud services to meet customer expectations
• Collaborate with architects, developers, and operations teams to ensure seamless integration and delivery of cloud-based systems
• 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 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
• Strong understanding of GCP networking services, such as Virtual Private Cloud (VPC), Cloud Virtual Private Network (VPN), Cloud Interconnect, Virtual Network (Vnet) and Cloud Load Balancing
• Knowledge and understanding of Cloud service offerings such as Data, Analytics, AI/ML on GCP
• Demonstrated experience on at least three of the following key services: Big Query, Composer, Vertex AI, Document AI, Agent Builder, DataProc, Data Catalog, Notebook
• In-depth knowledge of network protocols, security, and compliance standards
• Experience with scripting and automation tools for network provisioning and configuration
• Knowledge and understanding of Cloud service offerings on Security, Data Protection and Security policy implementations
• Basic understanding of Cloud computing concepts like landing zone and Blueprints.

Desired Qualifications

• Cloud certification on GCP
• Exposure to Cloud governance and logging/monitoring tools
• 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)
• Good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to database, cloud security, AD, authentication methods, RBAC.

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