Lead Google Workspace Deployment Engineer

Wursta; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Wursta is seeking an experienced Deployment Engineer to join the Digital Workplace Deployment Engineering team. You will lead the technical aspects of post-sales activities, migrating organizations from legacy solutions to Google Workspace while ensuring data migration and long-term value.

Required: 4+ years with Google Workspace and cloud migrations, strong PM skills, and the ability to work independently and remotely across distributed teams.

Qualifications

• 4+ years of technical experience with Google Workspace.
• 4+ years of technical experience with cloud migration strategies, specifically Google Workspace deployments.
• Proven track record of leading large-scale deployments to Google Workspace.
• Proven ability to work independently, remotely, and manage numerous parallel projects.
• Strong project management and time management skills.
• Experience using collaboration tools such as Slack, Jira, GitHub, etc.

Responsibilities

• Provide subject matter expertise for Google Workspace and adjacent technologies.
• Lead all technical aspects of post-sales activities for transitioning to Google solutions.
• Oversee delivery projects including data migration to Google Workspace from multiple sources.
• Participate in project and team meetings as required.
• Assist in sales engineering activities as needed.

Skills

Google Workspace

Cloud migrations

Project management

Technical communication

Remote work

Stakeholder presentations

Tools

Slack

Jira

GitHub

Job description

Wursta is seeking an experienced Deployment Engineer to join the Digital Workplace Deployment Engineering team. You will lead the technical aspects of post-sales activities, migrating organizations from legacy solutions to Google Workspace while ensuring data migration and long-term value.

Required: 4+ years with Google Workspace and cloud migrations, strong PM skills, and the ability to work independently and remotely across distributed teams.