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Google Workspace Developer Jobs (NOW HIRING)

Google Cloud Platform Engineer

Schaumburg, IL ยท 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 ...

Google Workspace Stack Director

Plano, TX ยท On-site +1

$125K - $179K/yr

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 ...

Google Workspace Stack Director

Plano, TX ยท On-site +1

$125K - $179K/yr

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 ...

... 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 ...

Google Workspace Stack Director

Plano, TX ยท 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 ...

$207 - $300/hr

Software Engineer Manager II, Google WorkspaceAdvanced Experience owning outcomes and decision ... Meet and Workspace. * Invest in the team by growing members in their own career development ...

Showing results 41-60

Google Workspace Developer information

See salary details

$40K

$129.3K

$158.5K

How much do google workspace developer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for google workspace developer in the United States is $129,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a Google Workspace Developer?

A Google Workspace Developer designs, builds, and maintains applications that integrate with Google Workspace products like Gmail, Drive, Docs, and Sheets. They use tools like Apps Script, Google APIs, and third-party integrations to automate workflows and enhance productivity. This role often involves scripting custom solutions, managing API interactions, and optimizing work processes for businesses and teams.

What are some common projects or challenges that a Google Workspace Developer typically works on?

Google Workspace Developers often design and implement custom scripts and add-ons to automate repetitive processes in applications like Gmail, Drive, Sheets, and Calendar. Typical challenges include integrating third-party APIs, managing data transfers between different platforms, and optimizing workflows to improve team efficiency. Developers might work closely with IT, operations, and end users to identify inefficiencies and collaboratively build solutions that address specific business needs. As organizations increasingly rely on cloud-based tools, there are ongoing opportunities to innovate and streamline digital collaboration.

What are the key skills and qualifications needed to thrive as a Google Workspace Developer?

To thrive as a Google Workspace Developer, you need expertise in JavaScript, Google Apps Script, RESTful APIs, and experience with automation or integration of Google Workspace tools, often supported by a degree in computer science or a related field. Familiarity with tools such as Google Cloud Platform, OAuth for authentication, and optional Google Professional Collaboration Engineer certification is beneficial. Strong problem-solving abilities, clear communication, and a collaborative mindset are valuable soft skills in this role. These capabilities are crucial for building custom solutions, optimizing business workflows, and effectively addressing organizational needs within Google Workspace environments.

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Infographic showing various Google Workspace Developer job openings in the United States as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $129,348 per year, or $62.2 per hour.

Google Cloud Platform Cloud Engineer / Devops Engineer

Whiztek Corp

Chicago, IL โ€ข On-site

$57.50 - $76.75/hr

Other

Posted 12 days ago


Key responsibilities

  • Design, build, and deploy AI agents on GEAP using Google''s Agent Development Kit or equivalent frameworks.

  • Configure and manage production hosting infrastructure, including networking, IAM, compute resources, and credential flows.

  • Troubleshoot production issues across the agent stack and ensure agents are secure, observable, and cost-efficient at scale.


Job description

Devops Engineer with Google Cloud Platform
Chicago, IL (Hybrid)

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 โ€” both Google-provided (e.g., Workspace MCP) and custom/third-party โ€” 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 โ€” licensing, APIs, IAM roles, network topology, compute sizing โ€” 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) โ€” 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