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Freelance Google Workspace Developer Jobs (NOW HIRING)

Whiztek Corp

Google Cloud Platform Engineer

Schaumburg, IL · On-site

$55 - $73.50/hr

Experience with Google Workspace MCP servers and the Workspace Developer Preview Program * Background in ML/platform engineering or cloud architecture roles * Experience with third-party agent ...

NTT DATA, Inc.

Google Workspace Stack Director

Plano, TX · On-site

$125 - $179/hr

We are currently seeking a Google Workspace Stack Director to join our team in Plano, Texas (US-TX), United States (US). Job Responsibilities * Lead migrations from Microsoft stack to Google ...

66degrees

Delivery Manager (Google Workspace)

... Google Workspace clients. As well as continue to assist the business as we develop more Google ... Relevant education or experience, preferred fields are computer science, engineering, or technical ...

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Freelance Google Workspace Developer information

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$241.5K

How much do freelance google workspace developer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for freelance google workspace developer in the United States is $100,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $106,000.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Google Workspace Developer vs Freelance Google Apps Script Developer?

AspectFreelance Google Workspace DeveloperFreelance Google Apps Script Developer
Required SkillsGoogle Workspace APIs, Apps Script, JavaScript, integrationsGoogle Apps Script, JavaScript, automation, scripting
Work EnvironmentClient projects within Google Workspace ecosystemAutomation and scripting within Google Workspace apps
Common UsageBuilding custom solutions for Google Workspace appsCreating scripts to automate tasks in Google Sheets, Docs, etc.

While both roles involve scripting within Google Workspace, a Freelance Google Workspace Developer focuses on developing comprehensive solutions and integrations across the entire platform, often requiring broader API knowledge. In contrast, a Freelance Google Apps Script Developer specializes in creating scripts to automate and enhance specific Google Workspace applications like Sheets or Docs. Both roles require JavaScript and familiarity with Google APIs, but the scope and complexity differ.

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Freelance Google Workspace Developer jobs near you
Infographic showing various Freelance Google Workspace Developer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $100,265 per year, or $48.2 per hour.

Google Cloud Platform DevOps AI Engineer

Whiztek Corp

Schaumburg, IL • On-site

$52 - $71.25/hr

Other

Posted 4 days ago

Job description

Role: Google Cloud Platform DevOps AI Engineer

Location: Schaumburg, IL

Work Mode: Hybrid (2-3 days/week in office)

Job Desccription:

We are looking for experienced Google Cloud engineers with hands-on expertise in Gemini Enterprise Agent Platform (GEAP), Google's managed platform for building, deploying, governing, and scaling enterprise-grade AI agents. This is a hands-on, build-and-deploy role: you will design agent architectures, stand up production hosting infrastructure, integrate Model Context Protocol (MCP) servers and tools, and ensure our agents are secure, observable, and cost-efficient at scale.

What You'll Do

  • Design, build, and deploy AI agents on GEAP using Google's Agent Development Kit (ADK) or equivalent frameworks, including both pro-code and low-code (Agent Studio) approaches
  • Deploy agents to GEAP's fully-managed Agent Runtime, configuring short-term Sessions and long-term Memory Bank integration
  • Integrate and configure Model Context Protocol (MCP) servers — both Google-provided (e.g., Workspace MCP) and custom/third-party — as external agent tools
  • Stand up and manage multi-agent orchestration patterns (e.g., orchestrator/sub-agent graphs, Agent Fabric-style fleets) where specialized agents handle discrete tasks and coordinate via defined protocols
  • Configure Agent Gateway policies, authorization, and Agent Identity for secure, auditable, and traceable agent actions
  • Define and provision the Google Cloud Platform infrastructure needed to host agents: networking (VPC, Private Service Connect, hybrid/on-prem connectivity), IAM, compute (GKE, Agent Platform Endpoints), and OAuth/credential flows for production agent authentication
  • Set up Agent Evaluation, Agent Observability, and Agent Optimizer to monitor drift, trace performance issues, and control compute/token costs in production
  • Advise stakeholders on exactly what's required — licensing, APIs, IAM roles, network topology, compute sizing — to host AI agents on GEAP, and translate that into clear deployment runbooks
  • Troubleshoot production issues across the agent stack, from model/tool calls to networking and platform-level governance controls

Required Experience

  • Demonstrated hands-on experience with GEAP (or its predecessor, Vertex AI Agent Builder/Vertex AI Pipelines) — not just familiarity from documentation
  • Strong Google Cloud Platform fundamentals: IAM, VPC networking, GKE, Cloud Run or similar compute, Private Service Connect
  • Experience building or integrating MCP (Model Context Protocol) servers and tools
  • Experience with Google's Agent Development Kit (ADK) or comparable agent frameworks
  • Familiarity with agent orchestration concepts (multi-agent systems, task graphs, tool calling, sessions/memory)
  • Solid understanding of OAuth 2.0 flows and secure credential handling for production, server-side applications
  • Comfortable working with gcloud CLI, Google Cloud Console, and infrastructure-as-code tooling

Nice to Have

  • Experience with Google Workspace MCP servers and the Workspace Developer Preview Program
  • Background in ML/platform engineering or cloud architecture roles
  • Experience with third-party agent interoperability (e.g., Open Agent Network, Salesforce/ServiceNow agent integrations)
  • Google Cloud certifications (Professional Cloud Architect, Professional ML Engineer, etc.)
  • Experience with cost governance/optimization for high-volume agent workloads

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