Cloud Engineer III
Credit One Bank · Las Vegas, NV · 1 wk ago
EngineeringFull-time
Description
The Platform Engineer III is responsible for leading the design, engineering, and security of enterprise-scale Google Cloud platforms, focusing on enabling and protecting AI-enabled workloads. Key responsibilities include defining standards for scalable, resilient, and secure cloud infrastructure, architecting and enforcing security controls for AI platforms and services, and implementing safeguards for sensitive data exposure, API and model endpoint security, and identity and access boundaries.
- Define standards for scalable, resilient, and secure cloud infrastructure
- Own multi-project and multi-cloud architecture, organization hierarchy, and governance models
- Audit and secure AI and cloud workloads
- Lead architecture for shared VPC and private service access, private Service Connect, and hybrid connectivity
- Implement secure patterns for AI consumption (not model development)
- Partner with security teams on AI risk management and compliance
- Build and standardize Terraform-based infrastructure
- Drive CI/CD pipelines for infrastructure and platform services
- Enable secure deployment of AI-integrated applications
- Implement enterprise security frameworks using IAM, VPC Service Controls, KMS, DLP, and policy enforcement
- Define best practices for secure external endpoints and API exposure
- Lead technical leadership and adoption of secure cloud and AI practices
Requirements
- 8+ years of experience in cloud engineering, platform engineering, or cloud architecture
- Expertise in Google Cloud Platform (GCP)
- Strong experience with GCP networking (VPCs, Private Service Connect, hybrid connectivity), landing zone design and governance, and cloud security architecture and compliance frameworks
- Hands-on expertise in Terraform (Infrastructure as Code), CI/CD pipelines (GitLab or similar), and securing APIs, external endpoints, and distributed systems
- Experience securing cloud-native and AI-integrated workloads
- Preferred exposure to Vertex AI, Gemini, or AI-enabled platforms (from a platform/security perspective)
- Familiarity with tools such as Wiz, DLP, SIEM, CSPM, and multi-cloud experience (AWS preferred)
- GCP certifications (Professional Cloud Architect, Security Engineer)