Job Title: Google Cloud Platform IAM Engineer - Vertex AI & Access Governance
Location: Plano, TX
Function: Identity & Access Management / Cloud Security
Primary Skills: Google Cloud Platform IAM, Vertex AI IAM, Terraform, Python
Job Type / Duration: 12+
Note*: There may be F2F Interviews
About the Role
A large financial services organization is enabling Vertex AI and Gemini model endpoints, and needs an IAM engineer to build the access-governance layer underneath it. Your job is to make sure AI consumption stays locked down, auditable, and aligned to enterprise security standards - you'll be the person defining who gets to touch what, and how.
Must-Haves
Terraform, at depth
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Reusable IAM module authoring
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Remote state and backend management
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google and google-beta provider fluency
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Workspace and multi-environment strategy
Python automation
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API orchestration and integration
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IAM policy manipulation and validation in code
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Google Cloud Client Libraries
IAM on Google Cloud Platform
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Google Cloud Platform resource hierarchy
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Vertex AI IAM policy design
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Hands-on Google Cloud IAM
Security, Compliance & Perimeter
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Cloud KMS for key management; Secret Manager for secrets
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VPC Service Controls and security perimeter design
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Zero-trust architecture principles
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SOC 2, ISO 27001, and/or PCI-DSS familiarity
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Data-classification and sensitivity-driven access controls
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Compliance experience inside regulated financial enterprises
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Shared VPC and Private Google Access where they intersect IAM
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Private Service Connect / PrivateLink patterns
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Cloud Armor, firewall rules, and Cloud Load Balancing in an access-control context
Bonus Points
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GKE Workload Identity; service mesh auth (Istio / Anthos Service Mesh)
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Cloud Logging, Cloud Monitoring, and SIEM integration
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OAuth 2.0, OIDC, API keys, token lifecycle management
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Cloud Build, GitLab CI, Jenkins, or comparable CI/CD
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Git across GitHub, GitLab, or Bitbucket
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