AI-Driven Vulnerability Engineer for Cloud Security

Trellix US LLC; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Trellix US LLC is seeking a hands-on Security Engineer to build and operate vulnerability management across cloud, hybrid, container, and application environments. You will prioritize findings, coordinate remediation, and report risk to leadership using AI-powered automation.

The role requires extensive experience in information security, cloud and application security, plus strong Python skills for automation and integration with REST/GraphQL APIs.

Qualifications

• Minimum five years in information security focused on vulnerability, cloud, or application security.
• Experience with vulnerability tools, cloud security, or application security automation.
• Proven ability to build autonomous AI agents or multi-step LLM workflows.
• Strong Python skills with production automation and REST/GraphQL integrations.
• Experience integrating security tools with ticketing, SOAR, or asset management.

Responsibilities

• Oversee asset discovery, vulnerability assessment, remediation verification and risk reporting.
• Prioritize findings using severity scores, exploit likelihood, threat intel and business importance.
• Develop AI agents and multi-step LLM workflows for asset reconciliation and escalation.
• Coordinate remediation with IT, DevOps, and software teams; manage critical zero-day responses.
• Define remediation governance and SLAs aligned with security and regulatory frameworks.
• Track scan coverage, remediation time, aging findings, and SLA adherence.

Skills

Information security

Cloud security

Application security

Python automation

AI agent / LLM workflows

REST / GraphQL integrations

Security tooling integration

Threat intelligence

Tools

Vulnerability scanners

SOAR platforms

CI/CD tooling

Telemetry ingestion

REST APIs

GraphQL

Job description

Trellix US LLC is seeking a hands-on Security Engineer to build and operate vulnerability management across cloud, hybrid, container, and application environments. You will prioritize findings, coordinate remediation, and report risk to leadership using AI-powered automation.

The role requires extensive experience in information security, cloud and application security, plus strong Python skills for automation and integration with REST/GraphQL APIs.