Senior Google Engineer

iT1, a leading national technology solution provider headquartered in Tempe, AZ, is looking for a skilled and experienced Senior Google Engineer to join our team. iT1 has been ranked as one of Arizona’s Best Places to Work for over a decade, running in the Small Business category. You will be exposed to many of the top technology offerings in the market and can work with some of the most talented people in the country.

The Senior Google Engineer is responsible for the delivery of complex projects focusing on Google Workspace administration and AI Gemini enterprise deployment across all industry verticals to meet our client’s technology and business needs.

This role requires deep expertise in Google Workspace core services including Gmail, Google Drive, Calendar, Meet, Chat, and Docs, as well as advanced knowledge of Gemini Enterprise agentic AI platform for business workflows. Our engineering team consults with our sales team, project management team and clients to deploy highly technical solutions to help our clients achieve their business objectives. This person will be a subject matter expert for strategic client opportunities covering Google Workspace administration, AI agent development, data governance, security implementation, and enterprise-grade AI deployment.

Requirements

• Strong technical experience with Google Workspace services, including understanding their capabilities and limitations and being able to implement and deliver solutions leveraging various Google Workspace technologies.
• Expertise and interest in staying current around new Google Workspace solutions and Gemini AI capabilities.
• Manage user accounts, groups, organizational units, and shared resources in Google Admin console.
• Configure and optimize core Google Workspace services including Gmail, Drive, Calendar, Meet, Chat, Docs, and Vault.
• Deploy and manage Gemini Enterprise agentic AI platform for enterprise search, analysis, and workflow automation.
• Create and manage AI agents using Agent Designer (no-code) and Agent Development Kit (ADK) for custom enterprise applications.
• Implement data governance policies including data loss prevention rules in Gmail and Drive to prevent data leakage.
• Configure security policies including two-step verification, password policies, and access controls to govern user access.
• Manage endpoint devices and mobile device management policies for enterprise compliance.
• Configure identity providers and OAuth consent screens for secure application integration.
• Create and manage Google Drive and Google Calendar data stores for Gemini Enterprise apps.
• Implement enterprise-grade security features including VPC Service Controls, Private Service Connect, and customer-managed encryption keys.
• Strong understanding of Google Workspace architecture, data grounding, and AI agent orchestration.
• Able to articulate pros and cons of design and architecture decisions across a wide spectrum of factors.
• Experience with Google Workspace migrations from legacy systems.
• Troubleshoot common Google Workspace and Gemini Enterprise deployment issues.

Job Qualification Requirements:

• 5-8 years in a project delivery role with focus on cloud collaboration platforms.
• 5-8 years of Google Workspace implementation and administration experience.
• 3-5 years of experience with Google Workspace migrations from legacy email and collaboration systems.
• 3-5 years of success in consulting on complex technical projects, including design and planning, implementation and deployment, and support.
• Experience managing and supporting Google Workspace in an enterprise environment with 1,000+ users.
• Experience administering organizational units, group policies, and resource management in Google Admin console.
• Experience deploying and managing AI solutions in enterprise environments, particularly Gemini Enterprise or similar agentic AI platforms.
• Experience with data governance, compliance configuration, and security policy implementation in Google Workspace.
• Experience with endpoint management and mobile device policies in enterprise settings.
• Exhibit a proactive, process-oriented, and results-driven mentality.
• Experience in a fast-paced and deadline-driven environment.
• Ability to prioritize and organize effectively.
• Ability to work on multiple projects simultaneously.
• Ability to work both independently and with others.
• Ability to operate in a fast-moving, team-oriented, collaborative environment with tight deadlines.
• Proficiency in using Google Workspace applications and collaboration tools.
• Strong understanding of cloud computing technologies, AI and machine learning fundamentals, and emerging trends in enterprise AI.