What are the responsibilities and job description for the Google Infrastructure engineer position at UNICOM TECHNOLOGIES INC?
Role: Google Infrastructure engineer
Issaquah, WA 3 Days (Need Local profiles)
Must Have Skills
Google Infrastructure engineer
Skill 1 - 8 Years of exp in Google Workspace (Admin Console, Gmail, Drive,
Vault, Gemini), Smartsheet, and Lucidchart
Skill 2 - 3 Years of Exp in Implement, maintain, and enforce security controls and governance policies (DLP, data
residency, conditional access, SSO/SAML, OAuth) in close collaboration with Information Security, Compliance, and Identity teams
Serve as the Subject Matter Expert (SME) and technical engineer for the enterprise
collaboration suite, including Google Workspace (Admin Console, Gmail, Drive,
Vault, Gemini), Smartsheet, and Lucidchart.
Lead the day-to-day administration, configuration, maintenance, and architecture of all
core collaboration platforms to support a global workforce.
Design and execute global rollouts, configuration baselines, and change management
processes for new and existing features and tools.
Implement, maintain, and enforce security controls and governance policies (DLP, data
residency, conditional access, SSO/SAML, OAuth) in close collaboration with Information Security, Compliance, and Identity teams.
Develop,maintain, and leverage scripting and automation tools (Google Apps Script,
Python, PowerShell, GAM) to reduce operational load and enhance service
quality.
Lead the integration of Google Workspace and complementary collaboration platforms
(Smartsheet, Lucidchart) with other enterprise systems to create seamless,
efficient cross-departmental workflows.
Lead and support data migration projects between collaboration platforms (e.g., from M365 to Google Drive).
Continuously evaluate emerging collaboration technologies and industry trends, developing
strategic recommendations and roadmaps to enhance the digital employee experience.
Work with IT asset management to optimize platform licensing at an enterprise scale,
providing data-driven recommendations for cost control and feature adoption.
Salary : $65