JOB SUMMARY
Experienced AI-Enabled Vulnerability & Remediation Engineer with strong Linux administration and vulnerability management expertise. The ideal candidate will be responsible for identifying, prioritizing, and remediating security vulnerabilities across enterprise Linux environments while leveraging AI tools and agentic workflows to automate vulnerability analysis, reporting, and remediation processes.
Key Responsibilities
Administer and support RHEL 7/8/9 production environments.
Perform vulnerability assessment and remediation using Qualys, Tenable, or Nessus.
Analyze CVE/CVSS findings and coordinate remediation activities.
Develop automation using Python, Bash, Ansible, Jenkins, and GitHub.
Build AI-powered workflows for vulnerability data collection, correlation, reporting, and remediation recommendations.
Design and implement AI prompt-based agents and Agentic AI workflows to automate security operations.
Work closely with Infrastructure, Security, and Application teams to drive remediation to closure.
Required Qualifications
Linux Administration (RHEL 7/8/9)
Vulnerability Management (Qualys, Nessus, Tenable)
CVE/CVSS analysis and remediation
Python and Bash scripting
Jenkins, GitHub, Ansible
AI Prompt Engineering
AI Agent development (LangChain, LangGraph, CrewAI, Copilot Studio, AutoGen, or similar)
Data correlation, analysis, and AI-driven reporting
Strong troubleshooting and production support experience
Preferred Qualifications
Docker, Kubernetes, OpenShift
AWS, Azure, or GCP
ServiceNow, Jira
Red Hat certifications (RHCSA/RHCE)
Experience with OpenAI, Azure OpenAI, Amazon Bedrock, or similar LLM platforms
Certifications
Experience building AI solutions for Security Operations (SecOps), Vulnerability Management, or AIOps.
Knowledge of Infrastructure-as-Code (Terraform) and DevSecOps practices.