Vulnerability Management Engineer – AI Automation

Job not on LinkedIn

🔥 1 hour ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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• No salary listed.

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Trellix

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

💰 $35M Venture Round on 2000-04

Cybersecurity • Artificial Intelligence • Enterprise

Trellix is a leading cybersecurity company that provides a comprehensive AI-powered security platform. It offers a wide range of products and services including endpoint security, data security, network security, threat intelligence, email security, and cloud security. With advanced threat detection and response capabilities, Trellix empowers security operations centers worldwide to efficiently manage and respond to cyber threats. The company is recognized by key industry analysts as a leader in extended detection and response (XDR) and network detection and response (NDR). Trellix also offers professional services, cybersecurity education, and manages detection and response (MDR) services, ensuring clients are well-protected and informed about the latest cybersecurity threats.

📋 Description

• Drive end-to-end vulnerability management, governance, and risk-based prioritization across hybrid, cloud, and containerized environments • 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, threat intelligence, and business criticality • Lead rapid response protocols for critical zero-day vulnerabilities, including interim compensating controls and formal risk-acceptance workflows • Architect and deploy autonomous AI agents for asset discovery, CMDB reconciliation, false-positive elimination, exploitability analysis, ticket routing, SLA escalations, and executive reporting • Establish and enforce program governance, remediation SLAs, and exception management frameworks aligned with NIST SSDF, EU CRA, and IEC standards • Define, track, and present KPIs including scan coverage, MTTR, SLA adherence, and vulnerability aging • Partner with and mentor IT Operations, DevOps, and Software Engineering teams to accelerate remediation and embed security-by-design practices

🎯 Requirements

• 5+ years in Information Security with a strong focus on Vulnerability Management, Application Security, or Cloud Security • Extensive hands-on expertise with industry-leading VM, CNAPP, and AppSec solutions, including Tenable, Wiz, Qualys, CrowdStrike, or Snyk • Ability to programmatically orchestrate scans, ingest telemetry, and validate remediation • Experience designing and deploying autonomous AI agents and multi-step LLM workflows using LangChain, LangGraph, CrewAI, AutoGen, or OpenAI/Anthropic SDKs • Proficiency with LLMs and Retrieval-Augmented Generation (RAG) architectures • Strong proficiency in Python • Experience consuming or building REST and GraphQL APIs • Experience integrating security scanners with SOAR platforms, Jira, ServiceNow, CMDBs, Slack, and Microsoft Teams • Deep command of CVSS, EPSS, and CISA KEV methodologies • Understanding of AWS, Azure, GCP, hybrid enterprise networks, Docker, Kubernetes, and CI/CD pipelines • Working knowledge of NIST SSDF, EU CRA, and IEC regulatory frameworks • Ability to build automated executive dashboards tracking MTTR, scan coverage, and SLA compliance

🏖️ Benefits

• Variety of social programs • Flexible work hours • Family-friendly benefits • Retirement Plans • Medical, Dental and Vision Coverage • Paid Time Off • Paid Parental Leave • Support for Community Involvement

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