Hybrid AI-Powered Penetration Testing Platform Engineer

A Bachelor's degree in Computer Science, Information Security, Cloud Engineering, or a related technical field is required, or equivalent professional experience.

Required Skillsets: CyberTech Engg: Build, certify, integrate, deploy and manage 3rd party Hybrid AI powered penetration testing platform.

Strong cloud native engineering experience.

Range: $90,000 to $115,000 per year

• Experience: 7+ years in platform engineering, cloud infrastructure, or security engineering roles, with demonstrable experience delivering and operating complex third-party or hybrid platforms in enterprise environments.

• Deep, hands-on cloud-native engineering expertise across AWS and/or GCP — including compute (EC2, GCE), container orchestration (EKS, GKE), networking (VPC, PrivateLink, VPN, firewall), IAM, and storage.
• Strong proficiency in IaC tooling — Terraform, CloudFormation, or equivalent — for enterprise-grade infrastructure provisioning and configuration management.
• Experience implementing CI/CD pipelines for platform and infrastructure deployment using GitHub Actions, GitLab CI, Jenkins, or equivalent.

Containerization expertise: Docker and Kubernetes (EKS/GKE) for managing cloud-hosted application components.

• Proven experience owning the full lifecycle of complex third-party or vendor platforms — from initial build and certification through integration, deployment, and ongoing operational management.
• Familiarity with enterprise technology risk, platform certification, and vendor management processes in regulated or large-scale environments.

• Strong understanding of hybrid platform architectures combining cloud-hosted and on-premises components, including network connectivity patterns, data flow design, and operational complexity management across mixed environments.
• Experience managing platform components split across cloud provider infrastructure and customer-managed on-premises or co-location environments.

• Proficiency in API design and integration development — REST, webhooks, event-driven connectors — for connecting third-party platforms into enterprise security ecosystems (SIEM, SOAR, vulnerability management, ticketing).
• Experience with data pipeline and transformation patterns for security finding ingestion and workflow automation.

• Working knowledge of penetration testing methodologies, vulnerability management, and offensive security operations — sufficient to configure, scope, and enable an AI-powered penetration testing platform effectively.
• Understanding of enterprise security controls, network segmentation, and least-privilege principles as applied to offensive security tooling within a production environment.

• Strong operational engineering skills including platform monitoring, alerting, incident response, patching, and capacity management for business-critical security platforms.
• Experience with observability tooling (e.g., Datadog, CloudWatch, Google Cloud Monitoring) for hybrid platform health management.

Certifications (Preferred but not required): AWS Solutions Architect or Security Specialty, Google Professional Cloud Architect or Security Engineer, OSCP, CISSP, or CCSP.

A Bachelor's degree in Computer Science, Information Security, Cloud Engineering, or a related technical field is required, or equivalent professional experience.

CyberTech Engg: Build, certify, integrate, deploy and manage 3rd party Hybrid AI powered penetration testing platform.

Strong cloud native engineering experience.

Range: $90,000 to $115,000 per year