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Platform Engineer – Google Cloud Platform

Whiztek Corp

Hybrid in Chicago, Illinois • Today

Easy Apply

Third Party, Contract

Depends on Experience

Google Cloud Platform Engineer

Whiztek Corp

Hybrid in Schaumburg, Illinois • 23d ago

Easy Apply

Third Party, Contract

Depends on Experience

DevSecOps Engineer with Google Cloud Platform

Whiztek Corp

Hybrid in Schaumburg, Illinois • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

DevSecOps Engineer with Google Cloud Platform

Whiztek Corp

Hybrid in Schaumburg, Illinois • 8d ago

Easy Apply

Contract, Third Party

Depends on Experience

VP - Platform Engineer - Google Cloud Platform DevOps

StevenDouglas

Remote • 27d ago

Easy Apply

Full-time

170,000 - 210,000

Cloud Platform Engineer

HAGNOS TECH LLC

Chicago, Illinois • 13d ago

Easy Apply

Third Party, Contract

55 - 60

Security Engineer - Google Cloud Platform

Acunor Infotech

Remote or New Jersey • Today

Easy Apply

Contract, Third Party

Google Cloud Platform Cloud Native Engineer with Healthcare

Braintree Technology Solutions

Remote • Yesterday

Easy Apply

Contract

40 - 55

Google Cloud Platform Cloud Engineer

Mitchell Martin, Inc.

Remote • 7d ago

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Third Party, Contract

$75 - $85

Google Cloud Platform Data Engineer

Stellar Professionals LLC

Remote • Today

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Contract, Third Party

Depends on Experience

Sr. Google Cloud Platform Security Engineer

StevenDouglas

Remote • 27d ago

Easy Apply

Full-time

140,000 - 170,000

Certified Google Cloud Platform Cloud Engineer

Spear Staffing

Remote • 9d ago

Easy Apply

Contract

Depends on Experience

Staff Google Cloud Platform engineer

CVS Health

Remote or Illinois • Today

Full-time

USD 130,295.00 - 260,590.00 per year

Sr. Google Cloud Platform Data Engineer

TEKEngineersInc

Remote • Today

Easy Apply

Full-time, Third Party

Depends on Experience

Google Cloud Platform Data Engineer - AI & RAG Solutions

Infomatics Corp

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

Cloud Platform Engineer

ICF Consulting Group, Inc.

Remote or Washington • Today

Full-time

USD 108,006.00 - 183,610.00 per year

Staff Platform Engineer, Core Cloud Platform

AlphaSense

Remote • Today

Full-time

USD 223,100.00 - 305,000.00 per year

Platform Engineer

Defense Unicorns

Remote • Today

Full-time

USD 123,250.00 - 166,750.00 per year

Cloud Platform / Cloud Security Engineer

BMR Infotek

Remote • 30+d ago

Easy Apply

Full-time

90,000 - 160000

Cloudera Public Cloud Platform Engineer

Integrated Technology Strategies, Inc.

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

Cloudera Public Cloud Platform Engineer

Mango Analytics

Remote • 13d ago

Easy Apply

Contract

Depends on Experience

Platform Engineer

Akshaya Inc

Remote • 27d ago

Easy Apply

Contract

Depends on Experience

Cloud Platform Engineer-Customer Delivery

CALIBRE

Remote • Today

Full-time

Google Cloud Platform architect

BURGEON IT SERVICES LLC

Remote • 3d ago

Easy Apply

Contract

$70 - $80

Google Cloud Platform/ETL Developer

Innosoul inc

Remote or Des Moines, Iowa • Today

Easy Apply

Contract, Third Party

Depends on Experience

Google Cloud Platform Data Engineer

CoSourcing Partners

Chicago, Illinois • Today

Full-time

Senior Data Engineer (Google Cloud Platform)

Stord, Inc.

Remote • Today

Full-time

Google Cloud Platform Cloud Engineer / Developer

CoSourcing Partners

Chicago, Illinois • Today

Full-time

Principal Cloud Infrastructure Engineer (Google Cloud Platform)

CVS Health

Remote or Woonsocket, Rhode Island • Today

Full-time

USD 144,200.00 - 288,400.00 per year

Job Details

Skills

Load Balancing
Google Cloud Platform
Hosting
Cloud Security
Artificial Intelligence
API Management
Orchestration
Network
Vector Databases
Reliability Engineering
Scalability
Python
DevOps
Cloud Computing
Vertex
Cloud Run

Summary

We are launching customer-facing products powered by multi-agent AI systems, and we need a senior platform engineer to own the infrastructure that runs them. You will design, build, and operate our Google Cloud Platform platform end to end, from the user's browser, through our edge and API layers, down to the AI agents and the services they call. This is an ownership role: you will set architectural direction, make the trade-off calls on cost, security, scalability, and latency, and explain those decisions to both engineering and leadership.

You'll work closely with our AI engineers, who build agents in Python using Google's Agent Development Kit (ADK), and you'll be responsible for making those agents secure, observable, and reliable in production.

What You'll Do

Own the architecture and lifecycle of our Google Cloud Platform infrastructure, including design, provisioning, security, cost management, and ongoing operations, without needing step-by-step direction.
Design deployment strategies for Python multi-agent systems built with Google ADK, choosing between the managed Agent Runtime/Agent Engine and Cloud Run based on each workload's needs.
Architect the full request path for agentic products: frontend hosting, Global HTTP(S) Load Balancing, Identity-Aware Proxy, API Gateway/Apigee, backend orchestrators, and agent services.
Enable real-time user experiences by supporting streaming responses (Server-Sent Events, WebSockets) from agents to the frontend, and reduce cold-start impact on latency-sensitive paths.
Build a zero-trust security model with least-privilege IAM, keyless authentication through Workload Identity, and ID-token-based authentication for agent-to-agent and service-to-service calls.
Design secure agent state and memory with Memory Bank and vector databases, keeping sessions persistent and tenant data strictly isolated.
Implement rate limiting, secret rotation, and audit logging across the agent call graph and external API integrations.
Build and maintain modular Terraform/OpenTofu for isolated Dev, QA, and Prod environments, with remote state, drift prevention, and safeguards against accidental production changes.
Create CI/CD pipelines (GitHub Actions, Cloud Build) with zero-downtime releases, canary and blue-green traffic splitting, and fast rollback.
Set up observability for agent workloads, including distributed tracing with Cloud Trace, structured logging, and custom metrics and alerts for agent reasoning loops, tool-call latency, and failures.
Write and defend architecture decision records, and translate technical trade-offs into clear recommendations for leadership.

What You'll Bring

Required

6+ years in platform, DevOps, cloud, or site reliability engineering, including at least 3 years working deeply on Google Cloud Platform.
Hands-on production experience with Cloud Run, including autoscaling, concurrency tuning, container optimization, min-instances and cold-start mitigation, and serverless Network Endpoint Groups.
Practical experience configuring Global HTTP(S) Load Balancers with path-based routing, Identity-Aware Proxy, and an API management layer (Google Cloud Platform API Gateway or Apigee) for authentication and rate limiting.
Strong command of Google Cloud Platform IAM: service account design, least privilege, Workload Identity/Workload Identity Federation, and authenticated service-to-service calls using ID tokens.
Advanced Terraform or OpenTofu skills, including reusable modules, remote state management, and multi-environment structures.
Experience building CI/CD pipelines with GitHub Actions and/or Cloud Build, including progressive delivery (canary or blue-green) and automated rollback.
Experience with Secret Manager and runtime configuration patterns that avoid rebuilding containers per environment.
Solid observability experience with Cloud Logging, Cloud Monitoring, and Cloud Trace (or OpenTelemetry), including trace-context propagation across services.
Working knowledge of Python, enough to read, containerize, and troubleshoot agent code.
A proven track record of making and defending architectural decisions, with clear communication for both technical and non-technical audiences.

Strongly Preferred

Hands-on experience deploying LLM or AI agent workloads to production, ideally with Google's Gemini Enterprise Agent Platform (formerly Vertex AI), including Agent Engine, Agent Runtime, Agent Registry, or Memory Bank.
Familiarity with Google ADK or similar agent frameworks (LangGraph, CrewAI, and so on) and how multi-agent orchestration works.
Experience with vector databases (such as Vertex AI Vector Search, AlloyDB/pgvector, or similar) and multi-tenant data isolation.
Experience with streaming architectures such as SSE and WebSockets through load balancers and serverless platforms.
GKE experience, and the judgment to know when it's the right choice over serverless.
A Google Cloud Platform Professional Cloud Architect, Cloud DevOps Engineer, or Cloud Security Engineer certification.

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: 9094161
Posted 7 hours ago

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Hybrid in Schaumburg, Illinois

•

Yesterday

Role: DevSecOps Google Cloud Platform Engineer Location: Schaumburg, IL Work Mode: Hybrid 3 days/week onsite Job Type: Contract Duration: Long Term Job Summary:We are looking for an experienced DevSecOps Google Cloud Platform Engineer to design, implement, and maintain secure, scalable cloud infrastructure and CI/CD pipelines on Google Cloud Platform (Google Cloud Platform). The ideal candidate will have strong experience in Google Cloud Platform, DevOps automation, Kubernetes, Terraform, CI/CD

Easy Apply

Third Party, Contract

Depends on Experience

Senior Google Cloud Platform DevOps Engineer

No location provided

•

Today

We are seeking a talented Senior Google Cloud Platform DevOps Engineer to assist clients with deploying Google Cloud Platform products. In this position, you will provide architecture guidance, data migration, troubleshooting, and monitoring while making sure best practices are upheld. If you are ready to make an impact, we encourage you to apply! We would like to inform you that this role is primarily offered under a standard employment contract, in accordance with applicable labor regulations.

Full-time

Lead Google Cloud Platform DevOps Engineer

No location provided

•

Today

We are looking for a seasoned Lead Google Cloud Platform DevOps Engineer to take on a pivotal role in delivering Google Cloud Platform solutions for our clients. In this leadership position, you will drive the architecture, guide teams on best practices, and provide strategic oversight for cloud-native transformations. You will play a key role in shaping technical decisions, managing complex deployments, and establishing processes for scalability and reliability. If you have the expertise and pa

Full-time

VP - Platform Engineer - Google Cloud Platform DevOps

Remote

•

27d ago

VP - Google Cloud Platform Engineer Remote/New York, NY The Google Cloud Platform Platform Engineer responsible for designing, building, and operating secure, compliant, and scalable cloud and AI-enabled platforms on Google Cloud Platform (Google Cloud Platform). This role enables application, data, and analytics teams by providing standardized cloud infrastructure, Kubernetes platforms, and approved Google AI services, while meeting financial services regulatory, security, and resiliency requ

Easy Apply

Full-time

170,000 - 210,000