Cloud Security Engineer

SPAR Group

Phoenix, AZ, United States

16 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

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

+18 more

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

Job 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.

Requirements

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.