Cybersecurity Contractor: 6-9 years (Advanced)

Title:GCP Cloud Infrastructure Engineer – Security & Terraform
Location: Fort Lauderdale/Irving/NJ/NY. (Hybrid-3 days onsite/ week)
Mode:Contract

Description:

• Design, develop, and maintain reusable Terraform modules for enterprise cloud environments.
• Implement Infrastructure as Code (IaC) best practices across development, testing, staging, and production environments.
• Provision and manage GCP infrastructure using Terraform and automation frameworks.
• Build complete cloud environments from scratch using GCP services and infrastructure automation.
• Design, deploy, and manage cloud-native solutions leveraging GCP services.
• Configure and maintain Cloud Run, BigQuery, Cloud Storage, Firestore, IAM, Secret Manager, and Load Balancing services.
• Develop and maintain CI/CD pipelines for infrastructure and application deployments.
• Experience in GCP-native data platforms (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer
• Implement infrastructure versioning, automated code reviews, governance controls, and deployment strategies.
• Ensure platform reliability, scalability, high availability, and disaster recovery readiness.
• Configure and manage networking components including VPCs, Subnets, Firewall Rules, Private Connectivity, DNS, and SSL Certificates.
• Manage Identity and Access Management (IAM), Service Accounts, and security controls.
• Implement monitoring, alerting, logging, and observability solutions using Cloud Monitoring and related tools.
• Experience building APIs and data connectors (Python, Cloud Functions, Cloud Run) that serve downstream applications or AI/ML systems
• Proficiency with IaC (Terraform) and CI/CD (Cloud Build, GitHub Actions, or equivalent) for pipeline deployment
• Experience with GCP IAM, VPC networking, and container platforms (GKE, Cloud Run)
• Troubleshoot production issues and execute root cause analysis for critical incidents.
• Develop operational runbooks, architecture documentation, and support procedures.
• Collaborate with Data Engineering and AI/ML teams to build secure and scalable data and AI platforms.
• Support infrastructure required for Vertex AI Agent Engine, Vertex AI Search, Model Armor, and AI-driven workloads.
• Implement security, compliance, and governance standards across cloud environments.