Cloud Vulnerability Management Security Engineer
Core
Identify, assess, and manage vulnerabilities across cloud environments (AWS, Azure, GCP) while leveraging AI-driven solutions to enhance security operations and reduce manual effort.
Role type
Cloud Vulnerability Management Security Engineer
Builds
Cloud security posture, AI security agents, dashboards for leadership visibility
Domain
Cloud Security, AI Security Operations
Deliverable
production ML models | dashboards & analysis
Required skills
Vulnerability management (Tenable, Qualys), Cloud security (AWS/Azure/GCP), Python/PowerShell scripting, Cloud security incident response, Cloud security audits, Event stream processing, AI prompt engineering
Preferred skills
AI agent development, Security policy development, Cross-functional collaboration
Technologies
AWS, Azure, GCP, Tenable, Qualys, CSPM platforms, Python, PowerShell
Responsibilities
Configure and maintain cloud-native scanning tools (CSPM) to identify vulnerabilities and misconfigurations; Develop, tune, and maintain AI agents and scripts for detection triage and alert enrichment; Partner with DevOps and engineering teams to drive timely patching and remediation; Build dashboards and metrics for leadership visibility into AI system performance and cyber risk trends; Maintain documentation of AI integrations and track emerging AI-specific security risks; Perform routine and targeted audits of cloud environments to ensure compliance; Develop and communicate cloud security policies and procedures.
Seniority
Mid-level, hands-on IC
