Google Cloud Platform Architect

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

GCP
GKE
BigQuery
Cloud Storage
Cloud SQL
AutoML
AI/ML
Vertex AI
Terraform
Ansible
Deployment Manager
IaC
Docker
Kubernetes
DevOps
CI/CD

Job Details

Google Cloud Platform Architect

  • Location: Dallas, TX or Seattle, WA or San Jose, CA
  • # of Positions: 2
  • Start: ASAP
  • Other Details: REMOTE
  • Eligibility: Open
  • Client Name / Domain: Retail
  • Bill Rate: $??
  • Type: Contract / C2C
  • Contract Duration: 12+ mos Contract
  • Experience: 15+ years
  • Skills: GKE, BigQuery, Google Cloud Platform, Cloud Storage, Cloud SQL, AutoML, AI/ML, Vertex AI, Terraform, Ansible, Deployment Manager, IaC, Docker, Kubernetes, DevOps, CI/CD

The Ask? AI Architect specializing in Google Cloud Platform (Google Cloud Platform), with deep experience in advanced AI agents, agentic AI systems, and cutting-edge AI tech stacks, tailored to the challenges and opportunities within the Health Tech sector. This role is instrumental in designing and delivering robust, compliant, and innovative AI-powered solutions for healthcare applications, leveraging Google Cloud Platform services and agent frameworks to drive clinical, operational, and patient-centered transformation.

Responsibilities:

  • Design and implement scalable, secure, and high-performance solutions on Google Cloud Platform (Google Cloud Platform) tailored to business and technical requirements.
  • Lead architectural discussions and decision-making processes for cloud-native applications using services such as Compute Engine, App Engine, and Google Kubernetes Engine (GKE).
  • Architect and optimize data solutions leveraging Cloud Storage, BigQuery, Cloud SQL, Bigtable, Dataflow, and Pub/Sub for real-time and batch data processing needs.
  • Collaborate with data science and engineering teams to integrate AI/ML capabilities using tools like AutoML and Vertex AI (formerly AI Platform).
  • Collaborate with DevOps, Data Engineering, Security, and Application Development teams for seamless implementation.
  • Implement infrastructure as code (IaC) using Terraform/Deployment Manager.
  • Ensure compliance with security and regulatory standards within the Google Cloud Platform ecosystem.
  • Act as a subject matter expert (SME) for Google Cloud Platform services, advising on best practices and new capabilities.

Skills / Experience:

  • 15+ years of overall IT experience with at least 10+ years in cloud architecture (Google Cloud Platform preferred).
  • Proven experience designing and implementing solutions using Google Cloud Platform services (BigQuery, GKE, Cloud Functions, Pub/Sub, Cloud Storage, VPC, IAM, etc.).
  • Strong understanding of networking, security, and identity management in cloud environments.
  • Hands-on experience with Terraform, Ansible, or Deployment Manager.
  • Experience with containerization (Docker, Kubernetes, GKE).
  • Background in CI/CD pipeline design and cloud DevOps practices.
  • Familiarity with data platforms, analytics, and cloud-native application development.
  • Excellent communication skills and ability to influence technical and non-technical stakeholders.
  • Certification: Google Professional Cloud Architect (preferred).

SUBMISSION FORMAT
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