Google Infrastructure Engineer - Remote, USA
Posted 5 days ago by LiveMindz
Negotiable
Undetermined
Remote
Remote
Job Description
SN | Required Information | Details |
1 | Role | Google Infrastructure engineer |
2 | Required Technical Skill Set | Smartsheet admin background and google workspace admin |
3 | Desired Experience Range | 8-15 years |
4 | No of Requirements | 1 |
4 | Location of Requirement | Remote |
Desired Competencies (Technical/Behavioral Competency) | |
Must-Have |
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Good-to-Have |
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SN | Responsibility of / Expectations from the Role |
1 | 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. |
2 | Lead the day-to-day administration, configuration, maintenance, and architecture of all core collaboration platforms to support a global workforce. |
3 | Design and execute global rollouts, configuration baselines, and change management processes for new and existing features and tools. |
4 | 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. |
5 | Develop,maintain, and leverage scripting and automation tools (Google Apps Script, Python, PowerShell, GAM) to reduce operational load and enhance service quality. |
6 | Lead the integration of Google Workspace and complementary collaboration platforms (Smartsheet, Lucidchart) with other enterprise systems to create seamless, efficient cross-departmental workflows. |
7 | Lead and support data migration projects between collaboration platforms (e.g., from M365 to Google Drive). |
8 | Continuously evaluate emerging collaboration technologies and industry trends, developing strategic recommendations and roadmaps to enhance the digital employee experience. |
9 | Work with IT asset management to optimize platform licensing at an enterprise scale, providing data-driven recommendations for co |