GCP & AI Data Security Architect

HCL Technologies Limited; Phoenix (AZ); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

401(k) retirement plan

Dental insurance

Paid time off

Job summary

HCLTech in Phoenix, AZ seeks a Data Security Architecture Assessment Contractor to evaluate GCP-based conversational AI, telephony, API, and backend integration architectures for data security and privacy.

You will review controls across IAM, VPC, Shared VPC, Cloud Run/GKE, BigQuery, Cloud Storage, and Datastore; implement encryption, KMS/Secret Manager, and data retention policies; produce risk-rated findings with remediation recommendations.

Qualifications

• Experience in cloud security architecture, preferably Google Cloud Platform (GCP).
• Hands-on with IAM, VPC/Shared VPC, Cloud Run/GKE, BigQuery, Cloud Storage, Datastore/Firestore, and KMS/Secret Manager.
• Proven ability to assess data protection controls for PII/PCI/regulatory data.
• Knowledge of API security (OAuth, mTLS, tokens, gateways).
• Familiarity with logging, SIEM integration, and archival/audit requirements.

Responsibilities

• Assess end-to-end data security posture of GCP-based architecture.
• Review security controls for IAM, VPC/Shared VPC, and network segmentation.
• Implement Sentinel policies for encryption and data access standards.
• Implement database activity monitoring and blocking rules in GCP.
• Assess AI-specific risks including prompt leakage and data store access.
• Produce findings with risk ratings, gaps, and remediation recommendations.
• Review data flows across GCP projects, virtual agents, telephony platforms, APIs, and data stores.

Skills

Cloud security architecture

GCP IAM

Threat modeling

API security

Data protection controls

Privacy compliance

Tools

Shared VPC

Cloud Run

GKE

BigQuery

Cloud Storage

Datastore/Firestore

Cloud KMS/Secret Manager

Job description

HCLTech in Phoenix, AZ seeks a Data Security Architecture Assessment Contractor to evaluate GCP-based conversational AI, telephony, API, and backend integration architectures for data security and privacy.

You will review controls across IAM, VPC, Shared VPC, Cloud Run/GKE, BigQuery, Cloud Storage, and Datastore; implement encryption, KMS/Secret Manager, and data retention policies; produce risk-rated findings with remediation recommendations.