Platform Engineer III

Credit One Bank
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Cloud Computing Security
Cloud Engineering
Continuous Integration
Data Governance
Data Security
Distributed Systems
Identity and Access Management
Virtual Private Networks (VPN)
Network Segmentation
Cloud Services
Security Information and Event Management
Software Vulnerability Management
Network Switches
Google Cloud Platform
Software Security
Multi-Cloud
Amazon Web Services (AWS)
Gitlab
AI Platforms
Infrastructure Automation Frameworks
Terraform

Job description

We are seeking a Platform Engineer III to lead the design, engineering, and security of enterprise-scale Google Cloud platforms, with a focus on enabling and protecting AI-enabled workloads. This role is responsible for building the underlying Google Cloud Platform foundation that AI systems depend on-including landing zones, networking, identity, data protection, and controlled access to services such as Vertex AI and Gemini. You will define how these services are securely consumed across the organization, ensuring strong governance, isolation, and compliance. You will help architect and enforce secure connectivity patterns, private access to AI services, API and endpoint protection, data security controls, and policy-driven access models. These standards will be embedded into Terraform-based infrastructure and CI/CD pipelines to ensure consistency and scalability., * Design and evolve enterprise Google Cloud Platform platforms and landing zones

  • Define standards for scalable, resilient, and secure cloud infrastructure
  • Own multi-project and multi-cloud architecture, organization hierarchy, and governance models

Secure AI & Cloud Workloads

  • Architect security controls protecting AI platforms and services (Gemini, Vertex AI)

  • Implement safeguards for:

  • Sensitive data exposure (PII, PCI)

  • API and model endpoint security

  • Identity and access boundaries

Establish secure patterns for AI consumption (not model development)

Partner with security teams on AI risk management and compliance Networking & Connectivity

  • Lead architecture for:

  • Shared VPC and private service access

  • Private Service Connect and service isolation

  • Hybrid connectivity (VPN, Interconnect)

Harden ingress/egress paths for AI and application endpoints

Enforce network segmentation and zero-trust principles Infrastructure Automation & CI/CD

  • Build and standardize Terraform-based infrastructure
  • Drive CI/CD pipelines for infrastructure and platform services
  • Implement GitOps workflows and automated policy enforcement
  • Enable secure deployment of AI-integrated applications

Governance & Security Engineering

  • Implement enterprise security frameworks using:

  • IAM, VPC Service Controls, KMS, DLP

  • Policy enforcement and compliance automation

Integrate with tools such as Wiz, SIEM, and vulnerability management platforms

Define best practices for secure external endpoints and API exposure Leadership & Influence

  • Serve as a technical leader and advisor across Cloud, Security, and Engineering teams
  • Drive adoption of secure cloud and AI practices
  • Mentor engineers on Google Cloud Platform architecture, security, and automation

Requirements

  • 8+ years of experience in cloud engineering, platform engineering, or cloud architecture

  • Expertise in Google Cloud Platform (Google Cloud Platform)

  • Strong experience with:

  • Google Cloud Platform networking (VPCs, Private Service Connect, hybrid connectivity)

  • Landing zone design and governance

  • Cloud security architecture and compliance frameworks

Hands-on expertise in:

  • Terraform (Infrastructure as Code)
  • CI/CD pipelines (GitLab or similar)

Experience securing:

  • APIs, external endpoints, and distributed systems
  • Cloud-native and AI-integrated workloads

Preferred

  • Exposure to Vertex AI, Gemini, or AI-enabled platforms (from a platform/security perspective)
  • Experience with AI security, model protection, and data governance frameworks
  • Familiarity with tools such as Wiz, DLP, SIEM, CSPM
  • Multi-cloud experience (AWS preferred)
  • Google Cloud Platform certifications (Professional Cloud Architect, Security Engineer)

About the company

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.

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