AI-Driven Vulnerability Engineer: Linux & SecOps Automation

Pb Consulting; City of Mount Vernon (NY); On-site; USD 110,000 - 170,000; Full time

Job summary

Pb Consulting seeks an experienced AI-Enabled Vulnerability & Remediation Engineer to secure enterprise Linux estates. You will identify, prioritize, and remediate vulnerabilities across production environments, leveraging AI-enhanced tooling to automate analysis, reporting, and remediation.

The role demands strong Linux administration, vulnerability management, and scripting skills, with collaboration across Infrastructure, Security, and Application teams to drive remediation to closure.

Qualifications

• Experience managing Linux environments at scale (production) and leading vulnerability remediation efforts.
• Ability to analyze CVE/CVSS findings and coordinate patching across multiple teams.
• Proficient in Python and Bash for automation and reporting.

Responsibilities

• Administer and support RHEL-based production environments.
• Perform vulnerability assessment and remediation using industry tools.
• Analyze CVE/CVSS findings and coordinate remediation activities.
• Develop automation using Python, Bash, Ansible, Jenkins, and GitHub.
• Build AI-powered workflows for data collection, correlation, reporting, and remediation recommendations.
• Design AI prompt-based agents and agentic workflows to automate security operations.
• Collaborate with Infra, Security, and Application teams to drive remediation to closure.

Skills

Linux Administration

Vulnerability Management

CVE/CVSS analysis

Python scripting

Bash scripting

AI Prompt Engineering

AI Agent development

Data correlation

Troubleshooting & production support

Tools

Qualys

Nessus

Tenable

Jenkins

GitHub

Ansible

LangChain

LangGraph

Copilot Studio

OpenAI / Azure OpenAI

Job description

Pb Consulting seeks an experienced AI-Enabled Vulnerability & Remediation Engineer to secure enterprise Linux estates. You will identify, prioritize, and remediate vulnerabilities across production environments, leveraging AI-enhanced tooling to automate analysis, reporting, and remediation.

The role demands strong Linux administration, vulnerability management, and scripting skills, with collaboration across Infrastructure, Security, and Application teams to drive remediation to closure.