Gbabo Peter Okirika

• Currently supporting Target's network security posture in Google Cloud

• Secured over 2,000 GKE nodes for PCI-compliant payment systems using GKE Sandbox and Binary Authorization, cutting container exploits by 97%.
• Automated Cloud Armor WAF deployment with Terraform, blocking more than 15 million malicious requests every month using geo-fencing and OWASP rules (92% effective).
• Designed a zero-trust architecture with VPC-SC perimeters and Identity-Aware Proxy (IAP) to fully isolate sensitive payment processors and databases.
• Stopped lateral movement between systems by implementing NetworkPolicies, keeping POS, inventory, and payment environments securely segmented.
• Reduced PCI audit findings by 83% by rolling out Pod Security Admission and automating RBAC controls.
• Scaled up Black Friday security to handle 3 million requests per minute with less than 100ms latency, leveraging reCAPTCHA and advanced rate limiting.
• Centralized security policy management for 50+ projects using Terraform and Spinnaker, achieving 100% compliance across the board
• Collaborated with development teams to integrate security automation tools, minimizing manual effort in cloud environment maintenance.

• Designed and applied cloud security frameworks on AWS, GCP, Azure to meet industry standards.
• Implemented VPC Service Controls to enhance zero-trust security.
• Configured VPC Service Controls to restrict unauthorized API calls and data transmissions.
• Crafted and implemented Cloud Armor AI strategies to defend against DDoS threats.
• Configured encryption protocols for AWS S3, Google Cloud Storage, and Azure Blob to protect data at rest
• Developed real-time telemetry pipelines utilizing Cloud Pub/Sub, BigQuery, and Looker for improved threat visibility.
• Automated export of security logs to BigQuery for immediate correlation with IDS findings.
• Embedded Binary Authorization within CI/CD workflows to enforce security compliance

• Configured AWS Connect to establish a secure cloud-based contact center solution

• Implemented ML models for anomaly and pattern detection in cloud security workflow
• Utilized AI-driven tools to strengthen predictive threat detection.