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Trellix

XDR security platform for threat detection

Vulnerability Management Engineer - AI Automation

Security Engineering & ArchitecturePosted on Nov 13
Full-timeRemote in IndiaNo salary listedRemote

About the Job

Requirements

  • At least 5 years of experience in Information Security, with a strong focus on Vulnerability Management, Application Security, or Cloud Security.
  • Hands-on expertise with vulnerability management, Cloud-Native Application Protection Platform, and application security solutions, including Tenable, Wiz, Qualys, CrowdStrike, or Snyk, and the ability to programmatically orchestrate scans, ingest telemetry, and validate remediation.
  • Experience designing and deploying autonomous AI agents and multi-step large language model workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or OpenAI or Anthropic software development kits to automate discovery, reconciliation, and remediation pipelines.
  • Proficiency in leveraging large language models and Retrieval-Augmented Generation architectures to correlate vulnerability data with source code repositories, asset metadata, and exploit intelligence, filter false positives, and assess real-world exploitability.
  • Strong proficiency in Python for production-grade security automation, custom integrations, and consuming or building REST and GraphQL APIs.
  • Experience integrating security scanners with Security Orchestration, Automation and Response platforms, enterprise ticketing systems such as Jira and ServiceNow, configuration management databases, and collaboration platforms such as Slack and Microsoft Teams for automated ticket creation, routing, reminders, and service-level agreement escalations.
  • Command of Common Vulnerability Scoring System, Exploit Prediction Scoring System, and CISA Known Exploited Vulnerabilities methodologies, with experience enriching vulnerability telemetry using threat feeds and business impact assessments.
  • Understanding of cloud platforms including AWS, Azure, and Google Cloud Platform; hybrid enterprise networks; container orchestration using Docker and Kubernetes; and continuous integration and continuous delivery pipelines.
  • Working knowledge of NIST Secure Software Development Framework, EU Cyber Resilience Act, and IEC regulatory frameworks, and the ability to build automated executive dashboards tracking mean time to remediate, scan coverage, and service-level agreement compliance.

Responsibilities

  • Direct continuous asset discovery, vulnerability assessment, remediation verification, and executive reporting across hybrid cloud, container, and application ecosystems.
  • Contextualize vulnerability severity using CVSS, EPSS, CISA KEV, real-world threat intelligence, and business criticality.
  • Lead rapid response protocols for critical zero-day vulnerabilities, implement interim compensating controls, and manage formal risk-acceptance workflows as required.
  • Architect and deploy autonomous AI agents to automate asset discovery, configuration management database reconciliation, false-positive elimination, exploitability analysis, intelligent ticket routing, service-level agreement breach escalations, and executive reporting.
  • Establish and enforce program governance, remediation service-level agreements, and exception management frameworks aligned with NIST SSDF, EU CRA, and IEC standards.
  • Define, track, and present key performance indicators, including scan coverage, mean time to remediate, service-level agreement adherence, and vulnerability aging, to senior leadership.
  • Partner with and mentor IT Operations, DevOps, and Software Engineering teams to accelerate remediation and embed security-by-design practices.

About the Company

Trellix

XDR security platform for threat detection

Trellix provides an open, native extended detection and response (XDR) platform that unifies endpoint, network, and cloud security, sold with hardware, software, and services such as threat intelligence, incident response, and risk management. The product combines multiple security tools into one system and uses Generative AI to enhance threat detection and response for SecOps teams. Its differentiators include an open, native platform that integrates tools across environments and AI-assisted automation, backed by the combined expertise of McAfee Enterprise and FireEye. The goal is to help organizations manage cybersecurity threats more effectively with a scalable, unified solution that blends technology, intelligence, and professional services.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$400M
Headquarters
Plano, TX
Founded
2021

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