Data Security Engineer

Security assessment of GCP-based conversational AI, telephony, API, and backend integration architecture.

Do you have the following skills, experience and drive to succeed in this role Find out below.

Responsibilities:

• Assess the 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 report 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
• On-prem / Amex systems of record
• Identify risks related and implement controls related to:
• Blocking Customer data exposure
• PII handling
• Encryption in transit and at rest
• Secrets and key management, Users and NHI authentication.
• Database activity Logging, monitoring, and auditability
• Data retention and deletion

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. xhyhwjd
• Familiarity with AI data governance, model safety, and GenAI security risks.