Vulnerability Management Specialist
Pubblicato il 14-10-2026 - Reply in Puglia
As a Vulnerability Management Specialist at Reply, you own the full vulnerability lifecycle across networks, apps, cloud, and AI systems. You will collaborate with customers to design and run risk-based programs, leveraging AI-driven analytics to reduce exposure. You’ll build tooling, tune processes, and guide remediation to reduce risk. This role combines hands-on technical work with client engagement in a forward-thinking team. You’ll join a mission to advance security through AI-enabled, scalable vulnerability management.
Verifichi che le sue competenze e la sua esperienza corrispondano ai requisiti di questo ruolo, quindi si candidi con il suo CV qui sotto.
- Structured career path
- Continuous learning environment
- Competitive compensation
- Opportunities for growth into technical specialist or leadership
- Equal opportunity employer
- Industry-wide benefits of being a Replyer
- Design and run end-to-end vulnerability management programs across networks, applications, cloud, and AI systems
- Perform scanning, risk scoring, remediation follow-up, and reporting
- Assess AI-based applications and models to map exposure
- Engage with clients to scope activities, present findings, and guide remediation
- Design and refine vulnerability management processes with a risk-based mindset
- Develop scripts and tooling to speed detection, correlation, and prioritization
- Apply AI/ML models to triage vulnerabilities and reduce false positives
- Produce clear, actionable reports for IT teams and collaborate on challenging engagements
- Bachelor or Master in Information Technology, Information Security or Computer Science
- Scripting and automation skills (e.g., Python)
- Knowledge of Windows, Linux/Unix and cloud environments
- Familiarity with vulnerability scanning and IT asset management tools
- Knowledge of OWASP and networking concepts; hands-on vulnerability assessment and CVSS/risk-based prioritization
- Familiarity with security of AI/ML systems and LLM risk consid