Vulnerability Management Engineer

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 Skills 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 Skills Docker, Kubernetes, OpenShift AWS, Azure, or Google Cloud Platform ServiceNow, Jira Red Hat certifications (RHCSA/RHCE) Experience with OpenAI, Azure OpenAI, Amazon Bedrock, or similar LLM platforms Nice to Have Experience building AI solutions for Security Operations (SecOps), Vulnerability Management, or AIOps. Knowledge of Infrastructure-as-Code (Terraform) and DevSecOps practices.

For applications and inquiries,