GCP Platform Engineer

GCP Platform Engineer

Job Description:

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 largescale 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 largescale technology solutions in Cloud for strategic business objectives and solving technical challenges that require indepth 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 cloudbased 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 handson 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

Indepth 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 containerbased solution services have handled 23 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

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 multicultural environment by demonstrating coownership & accountability in a matrix structure

Delivery focus and willingness to work in a fastpaced enterprise environment