Senior Cloud Platform Engineer — AI Security on GCP

Credit One Bank

Las Vegas (NV)

On-site

USD 140,000 - 190,000

Full time

6 days ago
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Job summary

Credit One Bank is seeking a Platform Engineer III to lead the design, engineering, and security of enterprise-scale Google Cloud platforms, enabling and protecting AI-enabled workloads. You will land AI systems into secure, governable GCP foundations and enforce compliant patterns across the organization.

The role focuses on production-ready AI workloads, auditable security, and scalable infrastructure, using Terraform and CI/CD to drive policy-driven access and secure deployment models.

Qualifications

  • 8+ years of cloud engineering, platform engineering, or cloud architecture experience.
  • Strong expertise in Google Cloud Platform (GCP) including networking and landing zones.
  • Hands-on Terraform and CI/CD implementation experience.
  • Experience securing APIs, external endpoints, and AI-enabled workloads.

Responsibilities

  • Design and evolve enterprise GCP platforms and landing zones.
  • Define standards for scalable, secure cloud infrastructure.
  • Own multi-project and multi-cloud architecture, governance models.
  • Architect security controls for AI platforms (Vertex AI, Gemini) and data protection.
  • Lead architecture for Shared VPC, private service access, and hybrid connectivity.
  • Build Terraform-based infrastructure and drive CI/CD pipelines and GitOps.
  • Implement enterprise security frameworks (IAM, KMS, DLP) and integrate with Wiz/SIEM.
  • Mentor engineers on GCP architecture, security, and automation.

Skills

GCP architecture
Terraform
CI/CD
Cloud security
Leadership
Networking

Education

GCP certifications (e.g., Professional Cloud Architect)

Tools

Terraform
GitLab
Wiz
SIEM
DLP

Job description

Credit One Bank is seeking a Platform Engineer III to lead the design, engineering, and security of enterprise-scale Google Cloud platforms, enabling and protecting AI-enabled workloads. You will land AI systems into secure, governable GCP foundations and enforce compliant patterns across the organization.

The role focuses on production-ready AI workloads, auditable security, and scalable infrastructure, using Terraform and CI/CD to drive policy-driven access and secure deployment models.

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