Cloud Security Engineer

Intone Networks

  • Phoenix, AZ
  • 7 days ago

    Highlights

    Review data flows across GCP service projects, virtual agents/conversational AI, telephony platforms, API proxies, Datastore, BigQuery, Cloud Storage, and on-premises systems of record. Assess AI-specific risks, including prompt/context leakage, model input/output handling, and knowledge store access.

    Numbers & Facts

    LocationPhoenix, AZ

    Description

    We are seeking a Cloud Security Engineer for a 6+ month contract position based in Phoenix, Arizona. This is an architect-level role focused on comprehensive data security and privacy across cloud infrastructure and AI systems.

    Responsibilities

    • Assess end-to-end architecture from a data security and privacy standpoint
    • Review security controls for GCP Shared VPC, interconnects, service accounts, IAM, and network segmentation
    • Implement Sentinel policies for enforcing encryption standards and data access standards
    • Implement database activity monitoring and blocking rules in GCP
    • Assess AI-specific risks, including prompt/context leakage, model input/output handling, and knowledge store access
    • Produce findings reports with risk ratings, gaps, and remediation recommendations
    • Review data flows across GCP service projects, virtual agents/conversational AI, telephony platforms, API proxies, Datastore, BigQuery, Cloud Storage, and on-premises systems of record
    • Identify risks and implement controls related to:
    • Blocking customer data exposure
    • PII handling
    • Encryption in transit and at rest
    • Secrets and key management, user and NHI authentication
    • Database activity logging, monitoring, and auditability
    • Data retention and deletion

    Qualifications

    Required

    • Strong experience in cloud security architecture, preferably with Google Cloud Platform
    • Hands-on knowledge of GCP IAM
    • Hands-on knowledge of VPC/Shared VPC
    • Hands-on knowledge of Cloud Run/GKE
    • Hands-on knowledge of BigQuery
    • Hands-on knowledge of Cloud Storage
    • Hands-on knowledge of Datastore/Firestore
    • Hands-on knowledge of Cloud KMS/Secret Manager
    • Experience assessing data protection controls for PII, PCI, or regulated customer data
    • Knowledge of API security, including OAuth, mTLS, token handling, gateways, and service-to-service authentication
    • Familiarity with network security, private connectivity, firewalls, segmentation, and hybrid cloud interconnects
    • Understanding of logging, SIEM integration, audit trails, and security monitoring
    • Experience with threat modeling and architecture risk reviews

    Preferred

    • Experience with conversational AI/virtual agent platforms
    • Knowledge of telephony/SIP integrations and contact center platforms
    • Experience with PCI DSS, NIST, ISO 27001, SOC 2, or financial services security standards
    • Familiarity with AI data governance, model safety, and GenAI security risks

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