AI-Driven Linux Vulnerability & Remediation Engineer

Pb Consulting; Belleville (NJ); On-site; USD 120,000 - 150,000; Full time

Job summary

Pb Consulting seeks an Experienced AI-Enabled Vulnerability & Remediation Engineer to identify, prioritize, and remediate security vulnerabilities across enterprise Linux environments. The role emphasizes leveraging AI tools and agentic workflows to automate analysis, reporting, and remediation processes.

The ideal candidate will have strong Linux administration, vulnerability management experience, and a track record building AI-driven security automation workflows across hybrid environments.

Qualifications

• Strong Linux administration and vulnerability management background.
• Experience in CVE/CVSS analysis and remediation planning.
• Proficient in Python and Bash scripting for automation.
• Hands-on with CI/CD tools like Jenkins and GitHub, and automation with Ansible.

Responsibilities

• Administer and support production Linux environments (RHEL 7/8/9).
• 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.
• Collaborate with Infra, Security, and App teams to drive remediation to closure.

Skills

Linux Administration

Vulnerability Management

CVE/CVSS analysis

Python

Bash scripting

Jenkins

GitHub

Ansible

AI Prompt Engineering

AI Agent development

Data correlation

Troubleshooting

Tools

Qualys

Nessus

Tenable

Ansible

Jenkins

GitHub

Job description

Pb Consulting seeks an Experienced AI-Enabled Vulnerability & Remediation Engineer to identify, prioritize, and remediate security vulnerabilities across enterprise Linux environments. The role emphasizes leveraging AI tools and agentic workflows to automate analysis, reporting, and remediation processes.

The ideal candidate will have strong Linux administration, vulnerability management experience, and a track record building AI-driven security automation workflows across hybrid environments.