Capital One Lead Platform Engineer Google Workforce 

United States, Virginia, Richmond 

869743876

General Responsibilities:

• Manage Google Workspace (Gmail, Calendar, Drive, Meet, etc.) for our organization

• Provide prompt and effective technical support to users, troubleshooting issues and answering questions

• Monitor system performance, security, and data integrity, taking proactive measures to address potential problems

• Stay up-to-date with the latest Google Workspace features and best practices, implementing updates and improvements as needed

• Develop and maintain clear documentation and training materials for users

• Focus on building and maintaining the underlying operational aspects of the platform including remediating vulnerabilities

• Monitor platform support Slack channels and address customer questions and issues

• Lead the availability, resilience and scalability of the platform

• Work closely with the Architecture team to align the platforms to latest architecture and configuration

• Encourage innovation, automation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization and diversity to a legacy process

• Develop, and utilize best practices to enhance the overall user experience of the platform

• Collaborate with the Software Engineers to ensure software works seamlessly on the platforms

Basic Qualifications:

• High School Diploma, GED, or equivalent certification

• At least 4 years of experience administering Google Workspace, G-Suite or Google Apps

• At least 3 years of cloud computing, including SaaS, IaaS, or PaaS

• At least 3 years of experience in programming or scripting (Python or Javascript )

• At least 2 years of experience with AWS

• At least 2 years in Feature Testing

Preferred Qualifications:

• 5+ years of experience with AWS

• 2+ years of experience in Agile practices

• 3+ years of experience with Google Cloud Platform

• 3+ year experience in managing Security and Compliance in Google Cloud environments and SaaS applications

• 1+ year with implementing or deploying AI solutions