> Markdown version of [/jobs/ext/4653552-google-cloud-platform-architect](https://www.wearedevelopers.com/jobs/ext/4653552-google-cloud-platform-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Google Cloud Platform Architect

- **Company:** Galaxy i Technologies, Inc
- **Location:** Tampa, FL, United States
- **Contract:** Contract
- **Skills:** Artificial Intelligence, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, Identity and Access Management, Platform as a Service (PAAS), Cloud Services, Data Logging, Google Cloud, Cloud Monitoring, Generative AI, Apigee, Backend, AI Platforms, Front End Software Development, Api Gateway, Terraform
- **Published:** November 10, 2026
- **Apply:** https://www.dice.com/job-detail/6bb077b8-9539-4f8d-9fe8-3862227af13f

## About the Role

* Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).
 * Experience designing solutions using Google Cloud Platform-native PaaS / managed services.
 * Strong cloud solution architecture experience.
 * Experience working with Google Cloud AI capabilities/services.
 * Experience designing integrations between cloud services and applications.
 * Ability to provide hands-on technical leadership in a fast-moving project.
 * Strong communication and stakeholder collaboration skills.
Preferred / Relevant Google Cloud Platform Experience
Candidates with practical experience across several of the following would be particularly relevant:

 * Vertex AI / Generative AI on Google Cloud
 * Cloud Run
 * Cloud Functions
 * API Gateway / Apigee
 * Pub/Sub
 * Cloud Storage
 * BigQuery
 * Cloud SQL / Firestore
 * IAM and service accounts
 * Secret Manager
 * Cloud Logging / Cloud Monitoring
 * Terraform or equivalent Infrastructure as Code

## Description

* Own the overall Google Cloud Platform solution architecture and technical direction.
 * Design a cloud-native architecture using appropriate Google Cloud Platform PaaS and managed services.
 * Identify opportunities to use Google Cloud AI services within the solution.
 * Guide the engineering team on Google Cloud Platform architecture, integration, security, scalability, and deployment considerations.
 * Recommend Google Cloud Platform-native approaches rather than relying primarily on generic container-based solutions.
 * Collaborate with consulting and application teams as the frontend/backend requirements become clearer.
 * Provide hands-on technical leadership to help deliver the initial demo.