ОписаниеFactorial builds AI Business Management Software for companies of all sizes. Its platform centralizes workflows across HR, Finance, Talent, Operations, and IT, helping teams reduce manual processes. Factorial is a SaaS company headquartered in Barcelona.ЗадачиPerform proactive penetration testing across applications, APIs, infrastructure, and AI-powered featuresReproduce and validate vulnerability reports submitted by third parties, including the bug bounty programCollaborate with development teams to remediate security findings and improve secure coding practicesImprove vulnerability validation, triage, and remediation processesHunt for recurring or legacy vulnerability patterns through root cause analysis, previous incidents, and security findingsBuild and improve security automations, agents, skills, and CI/CD controlsHelp secure the use of AI across product and internal workflows, including LLMs, agents, data access, tools, permissions, and abuse scenariosContribute to the development of security tools, automations,



and infrastructureStay up to date with security research, threats, attack techniques, and emerging AI security risksТребования3+ Years of professional experience in Application Security, Offensive Security, or Penetration TestingMandatory experience in Web Application Penetration TestingDegree in Engineering or Computer ScienceStrong knowledge of web applications, databases, network protocols, operating systems, cybersecurity fundamentals, CVSS, testing methodologies, and toolingProficiency in scripting or programming languages used in security testing and automation, such as Python or BashAbility to work across different security problems and reason criticallyAbility to build tools, automations, guardrails, and scalable practical security solutionsCuriosity and willingness to learn AI security topics, including LLM testing, prompt injection, agentic workflows, data exposure, tool permissions, RAG security, and secure AI adoptionFluent Englis

📌 Security Engineer In Saas (Madrid)
🏢 Enfint
📍 Madrid