Vulnerability Management Engineer LLM & AI Security (ID

STAFIDE

Job Location:

Amsterdam - Netherlands

Monthly Salary: Not Disclosed

Experience Required: 6-8years

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

As a Vulnerability Management Engineer you will:

Lead enterprise vulnerability management initiatives across infrastructure cloud applications and code repositories.
Leverage Large Language Models (LLMs) and Generative AI to enhance vulnerability detection analysis and remediation.
Develop AI-driven automation to streamline vulnerability management processes and reduce manual effort.
Collaborate with Cyber Security DevSecOps Cloud Infrastructure and Application teams to identify and address security risks.
Analyze prioritize and manage vulnerabilities based on risk exploitability and business impact.
Improve security operations by implementing AI-powered insights intelligent workflows and automated remediation recommendations.
Drive continuous improvement of vulnerability management practices using emerging AI technologies and automation.
Ensure timely remediation of critical vulnerabilities while supporting organizational security and compliance objectives.

What You Bring to the Table:

5 years of experience in Vulnerability Management Cyber Security Infrastructure Security or Security Operations.
Hands-on experience with vulnerability management platforms such as Qualys Tenable Rapid7 InsightVM Microsoft Defender Vulnerability Management or similar tools.
Strong understanding of CVE CVSS CWE MITRE ATT&CK OWASP Top 10 vulnerability lifecycle management and security best practices.
Experience with Large Language Models (LLMs) Generative AI Prompt Engineering RAG LangChain Azure OpenAI or similar AI technologies.
Proficiency in Python PowerShell or Bash scripting for automation and security integrations.
Knowledge of cloud security (Azure AWS or GCP) DevSecOps CI/CD pipelines APIs and container security.
Experience with SIEM solutions such as Microsoft Sentinel Splunk or QRadar is an advantage.
Strong analytical problem-solving communication and stakeholder management skills.

You should possess the ability to:

Design and implement AI-powered vulnerability management and remediation workflows.
Analyze prioritize and manage vulnerabilities based on risk exploitability and business impact.
Automate security processes and integrate vulnerability scanning into DevSecOps pipelines.
Build AI-assisted security solutions for vulnerability analysis reporting and remediation recommendations.
Collaborate with cross-functional teams to strengthen the organizations security posture and ensure compliance with security standards.
Stay updated with emerging cybersecurity threats AI security trends and industry best practices.

What we bring to the table:

Opportunity to work on cutting-edge AI-powered cybersecurity and vulnerability management solutions.
Exposure to enterprise-scale cloud security DevSecOps and security automation initiatives.
A collaborative environment that encourages innovation continuous learning and technical growth.
Opportunities for professional development certifications and career advancement while working with modern security technologies.

Lets Connect

Want to discuss this opportunity in more detail Feel free to reach out.

Recruiter: Aswin Dhanvandhar

Phone:; Extn :141

Email:

LinkedIn: Skills:

As a Vulnerability Management Engineer you will: Lead enterprise vulnerability management initiatives across infrastructure cloud applications and code repositories. Leverage Large Language Models (LLMs) and Generative AI to enhance vulnerability detection analysis and remediation. Develop AI-driven automation to streamline vulnerability management processes and reduce manual effort. Collaborate with Cyber Security DevSecOps Cloud Infrastructure and Application teams to identify and address security risks. Analyze prioritize and manage vulnerabilities based on risk exploitability and business impact. Improve security operations by implementing AI-powered insights intelligent workflows and automated remediation recommendations. Drive continuous improvement of vulnerability management practices using emerging AI technologies and automation. Ensure timely remediation of critical vulnerabilities while supporting organizational security and compliance objectives. What You Bring to the Table: 5 years of experience in Vulnerability Management Cyber Security Infrastructure Security or Security Operations. Hands-on experience with vulnerability management platforms such as Qualys Tenable Rapid7 InsightVM Microsoft Defender Vulnerability Management or similar tools. Strong understanding of CVE CVSS CWE MITRE ATT&CK OWASP Top 10 vulnerability lifecycle management and security best practices. Experience with Large Language Models (LLMs) Generative AI Prompt Engineering RAG LangChain Azure OpenAI or similar AI technologies. Proficiency in Python PowerShell or Bash scripting for automation and security integrations. Knowledge of cloud security (Azure AWS or GCP) DevSecOps CI/CD pipelines APIs and container security. Experience with SIEM solutions such as Microsoft Sentinel Splunk or QRadar is an advantage. Strong analytical problem-solving communication and stakeholder management skills. You should possess the ability to: Design and implement AI-powered vulnerability management and remediation workflows. Analyze prioritize and manage vulnerabilities based on risk exploitability and business impact. Automate security processes and integrate vulnerability scanning into DevSecOps pipelines. Build AI-assisted security solutions for vulnerability analysis reporting and remediation recommendations. Collaborate with cross-functional teams to strengthen the organizations security posture and ensure compliance with security standards. Stay updated with emerging cybersecurity threats AI security trends and industry best practices. What we bring to the table: Opportunity to work on cutting-edge AI-powered cybersecurity and vulnerability management solutions. Exposure to enterprise-scale cloud security DevSecOps and security automation initiatives. A collaborative environment that encourages innovation continuous learning and technical growth. Opportunities for professional development certifications and career advancement while working with modern security technologies. Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Aswin Dhanvandhar Phone:; Extn :141 Email: LinkedIn:

As a Vulnerability Management Engineer you will:

Lead enterprise vulnerability management initiatives across infrastructure cloud applications and code repositories.
Leverage Large Language Models (LLMs) and Generative AI to enhance vulnerability detection analysis and remediation.
Develop AI-driven automation to streamline vulnerability management processes and reduce manual effort.
Collaborate with Cyber Security DevSecOps Cloud Infrastructure and Application teams to identify and address security risks.
Analyze prioritize and manage vulnerabilities based on risk exploitability and business impact.
Improve security operations by implementing AI-powered insights intelligent workflows and automated remediation recommendations.
Drive continuous improvement of vulnerability management practices using emerging AI technologies and automation.
Ensure timely remediation of critical vulnerabilities while supporting organizational security and compliance objectives.

What You Bring to the Table:

5 years of experience in Vulnerability Management Cyber Security Infrastructure Security or Security Operations.
Hands-on experience with vulnerability management platforms such as Qualys Tenable Rapid7 InsightVM Microsoft Defender Vulnerability Management or similar tools.
Strong understanding of CVE CVSS CWE MITRE ATT&CK OWASP Top 10 vulnerability lifecycle management and security best practices.
Experience with Large Language Models (LLMs) Generative AI Prompt Engineering RAG LangChain Azure OpenAI or similar AI technologies.
Proficiency in Python PowerShell or Bash scripting for automation and security integrations.
Knowledge of cloud security (Azure AWS or GCP) DevSecOps CI/CD pipelines APIs and container security.
Experience with SIEM solutions such as Microsoft Sentinel Splunk or QRadar is an advantage.
Strong analytical problem-solving communication and stakeholder management skills.

You should possess the ability to:

Design and implement AI-powered vulnerability management and remediation workflows.
Analyze prioritize and manage vulnerabilities based on risk exploitability and business impact.
Automate security processes and integrate vulnerability scanning into DevSecOps pipelines.
Build AI-assisted security solutions for vulnerability analysis reporting and remediation recommendations.
Collaborate with cross-functional teams to strengthen the organizations security posture and ensure compliance with security standards.
Stay updated with emerging cybersecurity threats AI security trends and industry best practices.

What we bring to the table:

Opportunity to work on cutting-edge AI-powered cybersecurity and vulnerability management solutions.
Exposure to enterprise-scale cloud security DevSecOps and security automation initiatives.
A collaborative environment that encourages innovation continuous learning and technical growth.
Opportunities for professional development certifications and career advancement while working with modern security technologies.