20 publicaciones de empleo destacadas de ai full stack en madrid, md (¡Están contratando!)

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Cybersecurity Engineer for Network Security AI

Roche -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

Azure
Informática
Ansible
Big data
AWS
Respuesta a incidencias
Grado
Machine learning
Terraform
Splunk
Gestión de conflictos
NLP
Cloud
Inteligencia artificial
Liderazgo
GitLab
Python

Descripción completa del empleo

Bei Roche kannst du ganz du selbst sein und wirst für deine einzigartigen Qualitäten geschätzt. Unsere Kultur fördert persönlichen Ausdruck, offenen Dialog und echte Verbindungen. Hier wirst du für das, was du bist, wertgeschätzt, akzeptiert und respektiert. Dies schafft ein Umfeld, in dem du sowohl persönlich als auch beruflich wachsen kannst. Gemeinsam wollen wir Krankheiten vorbeugen, stoppen und heilen und sicherstellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und in Zukunft. Werde Teil von Roche, wo jede Stimme zählt.

Die Position

TheNetwork Security product makes Roche’s connectivity accessible and secure through actionable, policy-driven processes. The capabilities we provide enable Roche to identify, inspect, and mitigate network-based risks, manage regulatory compliance, and oversee egress/ingress traffic across all layers. Our solutions are primarily instantiated through leading-edge security platforms and automated orchestration. We work closely with Cloud, Infrastructure, and Incident Response teams to provide enterprise visibility into Roche’s network security posture.
You’ll be working within theNetwork Security Product area. This area is accountable for the end-to-end delivery of solutions—designing, building, and maintaining the technologies that protect Roche networks and the Internet, whether on-prem or cloud-based. This includes continuous improvement of capabilities like Internet Security Stack,DDoS Protection,Site-to-Site Connectivity (VPN), Network Access Control andDeep Packet Inspection to stay ahead of an ever-evolving threat landscape.

As aCybersecurity Engineer within the AI Innovation workstream, you will be a key technical contributor responsible for the hands-on execution of our AI/ML security strategy. Working as part of a specialized team, you will assist in developing and implementing AI capabilities to optimize service delivery across the Design, Build, and Operations phases of our network security solutions. Your role is to help bridge the gap between network security engineering and data science, contributing to the development of intelligent automation that reduces manual intervention and shifts our infrastructure toward a proactive, self-healing model. You will apply your technical expertise to ensure these technologies integrate seamlessly with our core stack, including Cisco ISE, 802.1x, and Palo Alto Networks.

Job Responsibilities

1.AI Strategy& Roadmap Execution

Strategy Definition: Partner with product owners to define the vision for AI adoption within Network Security (e.g., predictive threat detection, automated policy optimization).
Hands-on Implementation: Lead the technical execution of AI workstreams, moving from Proof of Concept (POC) to production-ready security enhancements.
SME for AI Security: Act as the Subject Matter Expert for how AI can be leveraged to improve the efficacy and performance of Cisco ISE, Palo Alto, and 802.1x infrastructures.

2.AI-Driven Observability& Inventory

Intelligent Monitoring: Develop AI/ML models to identify anomalies in network traffic and security appliance telemetry that traditional threshold-based monitoring misses.
Automated Classification: Enhance asset inventory and device profiling (NAC) by applying machine learning to identify complex IoT and medical device patterns.
Framework Integration: Integrate AI insights into the existing observability front-end and backend frameworks to provide actionable intelligence to operations teams.

3.Proactive Defense& Automation

Predictive Analytics: Implement tools to predict potential security bottlenecks or infrastructure failures before they impact the global network.
Policy Optimization: Use AI to analyze firewall and NAC policy usage, recommending automated cleanup or hardening of security rules.
Continuous Improvement: Lead the "Design, Build, and Improve" cycle for AI-driven security controls, ensuring they evolve alongside the threat landscape.

Qualifications

Education / Experience

Educational Background: Bachelor’s degree in Computer Science, Data Science, Cyber Security, Information Technology, or a related technical field.
Solid Security Foundation: Minimum 5 years of experience in Cybersecurity, with deep knowledge of network security principles (NAC, Firewalls, ZTNA).
Innovation Track Record: Proven experience leading technical workstreams from concept to production, particularly those involving new technology adoption.
Scale& Scope: Proven experience in architecting and operating solutions at a global scale.

Technical Skills

AI/ML Proficiency: Practical experience applying AI/ML concepts (e.g., Supervised/Unsupervised learning, NLP, or Anomaly Detection) to technical datasets.
Programming& Data Science: Proficiency in Python and experience with API-driven integrations.
Security Platforms: SME-level understanding of Cisco ISE, 802.1x, and Palo Alto Networks (Pan-OS, Panorama).
Cloud& Big Data: Familiarity with cloud-based AI services (AWS SageMaker, Azure ML) and processing large-scale security logs (Splunk, Elastic).
Infrastructure as Code: Experience with Terraform, Ansible, and GitLab-CI for automated deployments.

Skills below will be considered a plus:

Certification: Professional certifications in Network Security (e.g., PCNSE, CCNP Security) or Monitoring (LogicMonitor Certified Professional).
Preferred certifications in AI/ML combined with demonstrated technical projects in the AI space.

Leadership Skills

Communication: Strong ability to build trust with network and infrastructure experts and explain complex security policy concepts to non-technical stakeholders.
Innovation& Curiosity: A relentless passion for staying ahead of threat actors by researching emerging network security trends and automated enforcement techniques.
Thriving in Ambiguity: Ability to navigate global complexity and drive clarity when translating high-level security requirements into functional network policies.
Self-Starter: Proven ability to manage technical workstreams from concept to production with minimal supervision, taking full ownership of the Edge Defense product lifecycle.

Additional Qualifications

Demonstrated ability to mentor colleagues with less experience and provide guidance on cybersecurity best practices and analysis techniques
Strong facilitation, communication, and conflict resolution skills to ensure alignment across multiple product squads and complex stakeholder networks
Demonstrated interpersonal, collaborative and commitment to operational excellence skills.

Wer wir sind

Eine gesündere Zukunft treibt uns zur Innovation an. Mehr als 100.000 Mitarbeiter weltweit arbeiten gemeinsam daran, wissenschaftliche Fortschritte zu erzielen und sicherzustellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und für zukünftige Generationen. Durch unser Engagement werden über 26 Millionen Menschen mit unseren Medikamenten behandelt und mehr als 30 Milliarden Tests mit unseren Diagnostik-Produkten durchgeführt. Wir ermutigen uns gegenseitig, neue Möglichkeiten zu erkunden, Kreativität zu fördern und hohe Ziele zu setzen, um lebensverändernde Gesundheitslösungen zu liefern.

Gemeinsam können wir eine gesündere Zukunft gestalten.

Roche ist ein Arbeitgeber, der die Chancengleichheit fördert.

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