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# Cloud Security Engineer

- **Company:** SPAR Group
- **Location:** Phoenix, AZ, United States
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, User Authentication, BigQuery, Cloud Computing, Cloud Computing Security, Cloud Storage, Customer Data Management, Data Governance, Extract Transform Load (ETL), Data Retention, Data Stores, Identity and Access Management, Key Management, Network Security, Network Segmentation, OAuth, PCI Data Security Standards, Security Information and Event Management, Data Streaming, Systems Integration, Data Logging, Google Cloud, Chatbots, Software Security, HybridCloud, Amazon Virtual Private Cloud (VPC), Virtual Agents, Database Monitoring
- **Published:** August 19, 2026
- **Apply:** https://www.dice.com/job-detail/a35ad5f3-abb0-473a-95bb-9dc2e7b552d3

## About the Role

* Strong experience in cloud security architecture, preferably Google Cloud Platform.
 * Hands-on knowledge of:
 * Google Cloud Platform 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.

## Description

Role: Engineer II (Cloud Security Consultant). Focus: Security assessment of Google Cloud Platform-based conversational AI, telephony, API, and backend integration architecture., * Assess the end-to-end architecture from a data security and privacy standpoint.

 * Review data flows across:
 * Google Cloud Platform service projects
 * Virtual agents / conversational AI
 * Telephony platforms
 * API proxies
 * Datastore, BigQuery, Cloud Storage
 * On-prem / client 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 Google Cloud Platform Shared VPC, interconnects, service accounts, IAM, and network segmentation.
 * Implement Sentinel policies for enforcing encryption standards.
 * Implement database activity monitoring and blocking rules in Google Cloud Platform.
 * 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.


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