Collaboration Cloud Engineer - AI & Gemini Enablement

United States Digital Space LLC; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary & bonus plan

Medical, dental, vision insurance

401k with company match

Paid holidays & generous PTO

Home office setup allowance

Cell phone allowance

Job summary

the company, LLC seeks a Collaboration Cloud Engineer to drive Google Workspace migrations and Gemini Enterprise AI enablement. You will bridge cloud collaboration platforms with next-gen productivity tools, working on data transitions and AI feature rollouts across client environments.

Responsibilities include designing deployments, leading technical migrations, and collaborating with stakeholders to ensure secure, scalable solutions.

Qualifications

• 3+ years of experience administering Google Workspace.
• 3+ years of experience with migration tools for Google Workspace migrations.
• Proficient knowledge of DNS, Networking and Email Administration.
• Experience with MS Active Directory and/or Azure Active Directory.

Responsibilities

• Migrate and deploy Google Workspace deployments and migrations.
• Oversee Chrome Enterprise device integration and policy enforcement.
• Configure Gemini Enterprise features and platform-native AI tools.
• Engage with clients to scope technical engagements and drive solutions.
• Develop technical documentation and end-user guides for deployed solutions.
• Lead technical execution and ensure security across deployments.

Skills

DNS & Networking

AD / Azure AD

Google Workspace

Office 365 / Exchange

Migration tools

Okta / ADFS / GAM

CloudM / Movebot

GCDS

IT security practices

Travel readiness

Client-facing / management

Google Workspace deployment

AI fundamentals

Tools

Okta

ADFS

GAM

Bettercloud

CloudM Manage

GCDS

Job description

the company, LLC seeks a Collaboration Cloud Engineer to drive Google Workspace migrations and Gemini Enterprise AI enablement. You will bridge cloud collaboration platforms with next-gen productivity tools, working on data transitions and AI feature rollouts across client environments.

Responsibilities include designing deployments, leading technical migrations, and collaborating with stakeholders to ensure secure, scalable solutions.