GCP & Oracle Cloud Security Engineer

Technologent, Inc.; Phoenix (AZ); On-site; USD 130,000 - 170,000; Full time

Job summary

Technologent, Inc. is seeking a Cloud Security Engineer (GCP & Oracle) to strengthen the security posture of a cloud-native AI ecosystem on GCP.

The role focuses on data protection, cloud architecture, identity controls, and AI-related security risks across integrated enterprise environments. Ideal candidates have deep cloud security expertise, with hands-on work in IAM, encryption, logging, and architecture risk assessments.

Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Security, or related field.
• 7+ years of experience in cloud security architecture, security consulting, or enterprise security assessments.
• Experience implementing data security controls in Oracle databases and GCP.

Responsibilities

• Perform security assessments of cloud architectures supporting conversational AI and enterprise apps.
• Analyze data movement across cloud services, AI platforms, APIs, and on-prem environments for security concerns.
• Evaluate controls protecting sensitive customer data throughout the application lifecycle.
• Review IAM configurations, service accounts, authentication mechanisms, and authorization models in GCP.
• Assess encryption strategies for data transmission, storage, and key management.
• Examine logging, monitoring, and audit capabilities for security visibility and compliance.
• Validate network security architecture including Shared VPCs, segmentation, and private connectivity.

Skills

Cloud security architecture

Data protection

Risk assessment

API security

Threat modeling

Documentation

Communication

Security governance

Education

Bachelor's degree in Cybersecurity/CS/Info Security

Tools

Oracle Database Security

Google Cloud IAM

Shared VPC

Cloud Run

GKE

BigQuery

Cloud KMS

Secret Manager

Job description

Technologent, Inc. is seeking a Cloud Security Engineer (GCP & Oracle) to strengthen the security posture of a cloud-native AI ecosystem on GCP.

The role focuses on data protection, cloud architecture, identity controls, and AI-related security risks across integrated enterprise environments. Ideal candidates have deep cloud security expertise, with hands-on work in IAM, encryption, logging, and architecture risk assessments.