The Role
Lead enterprise vulnerability management across infrastructure, cloud, applications, and code. Use LLMs and generative AI to automate detection, analysis, prioritization, and remediation. Collaborate with security, DevSecOps, cloud, and app teams to implement AI-driven workflows, reduce manual effort, and ensure timely remediation and compliance.
Summary Generated by Built In
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 organization's 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.
Let’s Connect
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Aswin Dhanvandhar
Phone: +31 20 369 0609 ; Extn :141
LinkedIn: https://www.linkedin.com/in/aswin-dhanvandhar/
Skills Required
- 5+ years experience in Vulnerability Management, Cyber Security, Infrastructure Security, or Security Operations
- Hands-on experience with vulnerability management platforms (Qualys, Tenable, Rapid7 InsightVM, Microsoft Defender Vulnerability Management, or similar)
- Strong understanding of CVE, CVSS, CWE, MITRE ATT&CK, OWASP Top 10, vulnerability lifecycle management, and security best practices
- Experience with Large Language Models, 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
- Strong analytical, problem-solving, communication, and stakeholder management skills
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The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
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