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Cloud Worker Agent Jobs (NOW HIRING)

Google Cloud Platform Engineer

Schaumburg, IL ยท On-site

$55 - $73.50/hr

Design, build, and deploy AI agents on GEAP using Google's Agent Development Kit (ADK) or ... Comfortable working with gcloud CLI, Google Cloud Console, and infrastructure-as-code tooling Nice ...

$41 - $55/hr

Working alongside architects, security teams, and engineering partners, you'll transform cloud ... Experience supporting AI platforms utilizing Vertex AI, Gemini Enterprise Agent Platform, LiteLLM ...

Principal Cloud Engineer

Greenwich, CT

$62.50 - $83.75/hr

Working alongside architects, security teams, and engineering partners, you'll transform cloud ... Experience supporting AI platforms utilizing Vertex AI, Gemini Enterprise Agent Platform, LiteLLM ...

Principal Cloud Engineer

Greenwich, CT ยท On-site

$62.50 - $83.75/hr

Working alongside architects, security teams, and engineering partners, you'll transform cloud ... Experience supporting AI platforms utilizing Vertex AI, Gemini Enterprise Agent Platform, LiteLLM ...

Software Engineer, Hermes Cloud

New York, NY ยท On-site

$65.75 - $85.25/hr

... Agent and Nous Portal. You'll design and build the infrastructure, deployment systems, and platform ... You'll help build the cloud platform while also shipping user-facing features, working closely with ...

Cloud Platform Engineer // Plano,TX

Plano, TX ยท On-site

$53.50 - $71.50/hr

Candidate must live within 60 miles of Plano, TX (WORKER MUST RESIDE WITH A 60 MILE RADIUS OF ANY ... AI agents and agent orchestration LLMs, prompt/context engineering RAG and MCP integrations GitHub ...

New

Cloud Security Engineer - Hybrid

Minneapolis, MN ยท On-site

$58.25 - $77.75/hr

Design, develop, test, and maintain enterprise Policy-as-Code libraries using Open Policy Agent ... Strong communication and collaboration skills with experience working in Agile environments.

Customer Engineer, Cloud AI, Google Cloud

Sunnyvale, CA ยท On-site

$65.50 - $87.50/hr

Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic ... Experience learning and working with new emerging technologies, methodologies, and solutions in the ...

Cloud Solutions Architect 3

Austin, TX ยท On-site

$63 - $86.25/hr

Job Summary We are seeking an experienced Cloud Solutions Architect to architect and establish an ... worker, or similar multi-agent orchestration patterns. โ€ข Experience with tool calling, state ...

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Cloud Worker Agent information

See salary details

$28.5K

$85.8K

$149.5K

How much do cloud worker agent jobs pay per year?

As of Sep 13, 2026, the average yearly pay for cloud worker agent in the United States is $85,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Cloud Worker Agent jobs?

For Cloud Worker Agent jobs, the most frequently searched job titles are:

Infographic showing various Cloud Worker Agent job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $85,793 per year, or $41.2 per hour.

Google Cloud Platform Cloud Engineer / Devops Engineer

Chicago, IL โ€ข On-site

Whiztek Corp
Software Developmentย โ€ขย 11 - 50 employees

$57.50 - $76.75/hr

Other

Posted 19 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