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# Ai And Cloud Security Engineer

- **Company:** Jobrapido
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Kubernetes Security, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing Security, Continuous Integration, Data Masking, Python (Programming Language), Key Management, Network Control, Open Source Technology, Open Web Application Security, Performance Tuning, Windows PowerShell, Kusto Query Language, Security Information and Event Management, Systems Integration, Software Vulnerability Management, Google Cloud, Cloud Platform System, Large Language Models, Multi-Cloud, Rate Limiting, Kubernetes, Information Technology, Terraform, Devsecops
- **Published:** September 25, 2026
- **Apply:** https://www.buscojobs.com.es/ai-and-cloud-security-engineer-en-barcelona-ID-373072017

## About the Role

Requisitos principalesProven hands-on experience securing or operating AI/ML/LLM-based systems
Experience deploying, integrating, and tuning security platforms xqziphu in complex enterprise environments
Security tooling experience in Kubernetes (AKS/EKS) and integrating open-source components
Proficiency in KQL, PowerShell, Python, Terraform; CI/CD and IaC security
Strong understanding of CSPM/CWPP/CNAPP operations and cloud identity/entitlements
Excellent English communication and ability to document runbooks and integration guides
Bachelor in Computer Science or related field (equivalently demonstrated practical experience)
Strong written and verbal communication
Cross-functional collaboration
Analytical and problem-solving mindset
AI/GenAI security depth including prompt-injection/jailbreak defense and RAG security
LLM and agentic-AI threat modeling (OWASP LLM Top *******, MITRE ATLAS)
AI gateway and runtime enforcement technologies

## Description

OverviewPor favor, lea detenidamente la siguiente descripción del puesto para asegurarse de que encaja con el perfil antes de enviar su solicitud.As the senior technical owner, you will lead the AI security runtime control plane and enforcement fabric across a multi-cloud estate.You'll implement inline AI traffic enforcement, tune policies for fast, low-friction security, and act as the escalation point for complex AI security incidents.You'll drive a closed-loop defensive system that learns from red-team findings to evolve runtime policies and SOC threat models.You will collaborate with cross-functional teams to secure AI and cloud environments, applications, and infrastructure, shaping resilient security at scale.Compensaciones / Beneficioselective benefits tailored to countrycareer growth and professional development programswell-being programs and Life Empowerment Assistancediversity, equity & inclusion initiativesonboarding program to connect with colleaguesparticipation in inclusive communities and volunteering initiativesResponsabilidadesBuild and own the AI runtime control plane and inline enforcement pipeline for AI traffic across Azure, AWS, GCP, Copilot Studio, and self-hosted environmentsHarden gateway layers with buffering, overload management, rate limiting, and prompt-truncation to defend against token-exhaustion and denial-of-service attacksIntegrate AI asset context, telemetry, and continuous red-team signals into SIEM/SOC workflows for forensics and auditAuthor and calibrate runtime policies (prompt-injection/jailbreak defense, PII redaction, data masking, tool-call validation, MCP access control)Balance detection and hard-block modes per AI archetype to minimize false positivesTranslate red-team findings into policy updates and new detections; validate with re-testingLead L3 escalation for AI security toolset, investigate AI-specific attacks, and drive automated containmentEvaluate and pilot AI security vendors and proofs-of-concept for runtime defense and model-security platformsDesign and maintain secure multi-cloud patterns and least-privilege access across humans, service principals, and agentsEmbed security into DevSecOps with IaC scanning (Terraform), container/Kubernetes security, secrets management, and pre-deployment gatesSupport cloud workload vulnerability management and act as escalation for investigations across cloud, identity, endpoint, and AI telemetryRequisitos principalesProven hands-on experience securing or operating AI/ML/LLM-based systemsExperience deploying, integrating, and tuning security platforms xqziphu in complex enterprise environmentsSecurity tooling experience in Kubernetes (AKS/EKS) and integrating open-source componentsProficiency in KQL, PowerShell, Python, Terraform; CI/CD and IaC securityStrong understanding of CSPM/CWPP/CNAPP operations and cloud identity/entitlementsExcellent English communication and ability to document runbooks and integration guidesBachelor in Computer Science or related field (equivalently demonstrated practical experience)Strong written and verbal communicationCross-functional collaborationAnalytical and problem-solving mindsetAI/GenAI security depth including prompt-injection/jailbreak defense and RAG securityLLM and agentic-AI threat modeling (OWASP LLM Top *******, MITRE ATLAS)AI gateway and runtime enforcement technologies


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