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DevSecOps Engineer with Google Cloud Platform

Whiztek Corp

Hybrid in Schaumburg, Illinois • Today

Easy Apply

Contract, Third Party

Depends on Experience

DevSecOps Engineer - Google Cloud Platform W2 Role

Hudson IT

Schaumburg, Illinois • Today

Full-time

USD 45.00 - 50.00 per hour

Google Cloud Platform Data Engineer

Whiztek Corp

Hybrid in Schaumburg, Illinois • 2d ago

Easy Apply

Third Party, Contract

Depends on Experience

Google Cloud Platform Engineer

Whiztek Corp

Hybrid in Schaumburg, Illinois • 15d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior Google Cloud Platform Data Engineer

Whiztek Corp

Hybrid in Schaumburg, Illinois • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

DevSecOps Engineer

System One

Remote • 21d ago

Easy Apply

Contract

Depends on Experience

Cloud DevSecOps Engineer - SOCEUR

CACI International, Inc.

Remote • Today

Full-time

USD 114,600.00 - 252,100.00 per year

DevSecOps Engineer - Minneapolis, Mn

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Contract

$50 - $65

Google Cloud Platform Cloud Engineer

SR Talent Solution Inc

Remote • 6d ago

Easy Apply

Contract

Depends on Experience

VP - Platform Engineer - Google Cloud Platform DevOps

StevenDouglas

Remote • 19d ago

Easy Apply

Full-time

170,000 - 210,000

Senior Google Cloud Platform platform Engineer Devops Terraform

HAN IT Staffing Inc.

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Google Cloud Platform Cloud / IaC Engineer

LiveMindz

Remote • 5d ago

Easy Apply

Contract

Depends on Experience

DevSecOps Engineer

General Dynamics

Remote • Today

Full-time

USD 142,696.00 - 158,303.00 per year

Certified Google Cloud Platform Cloud Engineer

Spear Staffing

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

DevSecOps Engineer

Istari Digital

Remote • Today

Full-time

USD 135,000.00 - 220,000.00 per year

Senior Cloud Security Engineer: DevSecOps/Multi?Cloud

Jack Henry & Associates

Remote • Today

Full-time

DevSecOps Cloud Engineer

Navigant Consulting

Remote or San Antonio, Texas • Today

Full-time

USD 46,000.00 - 76,000.00 per year

DevSecOps Engineer

Electric Power Engineers

Remote or Austin, Texas • Today

Full-time

Staff Google Cloud Platform engineer

CVS Health

Remote or Illinois • Today

Full-time

USD 130,295.00 - 260,590.00 per year

AWS Platform DevSecOps Engineer

CACI International, Inc.

Remote • Today

Full-time

USD 98,500.00 - 206,800.00 per year

DevSecOps Engineer

IntegrityOne Partners

Remote or Arlington, Virginia • Today

Full-time

USD 120,000.00 - 145,000.00 per year

Senior DevSecOps Engineer (Senior Application Security Engineer)

IDEMIA

Remote • Today

Full-time

USD 112,130.00 - 140,171.00 per year

DevSecOps Engineer- LGY

HigherEchelon

Remote • Today

Full-time

Platform Engineer

System One

Remote • 21d ago

Easy Apply

Contract

Depends on Experience

Lead Software Engineer - Enterprise Applications

Navistar International Corp.

Lisle, Illinois • Today

Full-time

USD 137,600.00 - 206,400.00 per year

Senior Staff Security Engineer, Ripple Treasury

Ripple

Chicago, Illinois • Today

Full-time

USD 220,000.00 - 300,000.00 per year

Senior GIS Engineer

JLL

Remote or Chicago, Illinois • Today

Full-time

USD 147,000.00 - 278,000.00 per year

Performance Engineer II (SRE)

Quest Diagnostics Inc.

Schaumburg, Illinois • Today

Full-time

USD 85,000.00 - 113,000.00 per year

Lead Java Engineer

Trans Union LLC

Chicago, Illinois • Today

Full-time

USD 90,000.00 - 150,000.00 per year

Lead Offensive Security Engineer

ECOLAB

Naperville, Illinois • Today

Full-time

USD 120,500.00 - 180,700.00 per year

Job Details

Skills

Devops
DevSecOps
GCP
AI
Vertex AI
GEAP
MCP

Summary

DevSecOps Engineer / Google Cloud Platform
Schaumburg, 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 — 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10132070
Position Id: 9086032
Posted 4 hours ago

Fitment

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Similar Jobs

Google Cloud Platform Engineer

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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 DoDesig

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AI Engineer Intern - Summer 2027

Chicago, Illinois

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3d ago

About Us : Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers a

Full-time

USD 40.00 - 50.00 per hour

Job Details

Skills

Devops
DevSecOps
GCP
AI
Vertex AI
GEAP
MCP

Summary

DevSecOps Engineer / Google Cloud Platform
Schaumburg, IL (Hybrid)

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

Dice Id: 10132070
Position Id: 9086032
Posted 4 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Google Cloud Platform Engineer

Hybrid in Schaumburg, Illinois

•

15d ago

Easy Apply

Contract, Third Party

Depends on Experience

Staff Agentic Software Engineer

Chicago, Illinois

•

Today

Full-time

USD 125,800.00 - 209,600.00 per year

Staff Agentic Software Engineer

Chicago, Illinois

•

Today

CME Group is looking for a senior and experienced Staff Agentic Software Engineer to join a dynamic team responsible for our mission-critical Real-time Positions & Risk Management Systems. This role is pivotal in driving both the technical evolution of our financial platforms and the transformation of our engineering workflows. You will lead the team in transitioning from traditional software development to an agentic engineering paradigm -leveraging advanced LLM coding tools (e.g., Gemini CLI,

Full-time

USD 125,800.00 - 209,600.00 per year

AI Engineer Intern - Summer 2027

Chicago, Illinois

•

3d ago

Full-time

USD 40.00 - 50.00 per hour