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iT1

Everybody works better together!

Senior Engineer

EngineerEngineerFull TimeRemoteSeniorTeam 51-200Since 2003H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

57 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishCloudVault

Job Description

Senior Engineer

iT1

• iT1 is looking for a skilled and experienced Senior Google Engineer to deliver complex projects focusing on Google Workspace administration and AI Gemini enterprise deployment. • Responsible for the delivery of solutions to meet client’s technology and business needs. • Consult with sales, project management team, and clients to deploy technical solutions. • Act as a subject matter expert for strategic client opportunities.

Job 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.

Benefits

  • Medical, dental, and vision benefits with highly subsidized premiums
  • Two weeks accrued paid time off in your first year, with increasing PTO as tenure increases, and most major holidays off
  • 401(k) Plan with employer match
  • Onsite Fitness Center
  • Onsite Monthly Massages

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