Cloud Security Consultant

Job Description: Data Security Architecture Assessment Contractor. Role: Engineer II (Cloud Security Consultant). Focus: Security assessment of GCP-based conversational AI, telephony, API, and backend integration architecture.

Responsibilities

• Assess the end-to-end architecture from a data security and privacy standpoint.
• Review data flows across:
  • GCP service projects
  • Virtual agents / conversational AI
  • Telephony platforms
  • API proxies
  • Datastore, BigQuery, Cloud Storage
  • On-prem / Amex systems of record
• Identify risks related to:
  • Customer data exposure
  • PII handling
  • Authentication and authorization
  • Encryption in transit and at rest
  • Secrets and key management
  • Logging, monitoring, and auditability
  • Data retention and deletion
  • Cross-boundary data movement
• Review security controls for GCP Shared VPC, interconnects, service accounts, IAM, and network segmentation.
• Implement Sentinel policies for enforcing encryption 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 report with risk ratings, gaps, and remediation recommendations.

Required Skills

• Strong experience in cloud security architecture, preferably Google Cloud Platform.
• Hands-on knowledge of:
  • GCP IAM
  • VPC / Shared VPC
  • Cloud Run / GKE
  • BigQuery
  • Cloud Storage
  • Datastore / Firestore
  • 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 Skills

• 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.