GCP Platform Engineer

Job Summary –

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 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

 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

Years of experience needed –

Skills

PRIMARY COMPETENCY : Cognitive Services PRIMARY SKILL : Machine Learning on GCP PRIMARY SKILL PERCENTAGE : 100