Cybersecurity Engineer

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10a Labs

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2021

🤖 Intelligence artificielle

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

10a Labs est une entreprise de recherche appliquée et de technologie spécialisée dans la sécurité de l'IA. Elle fournit des services de collecte de renseignements, de recherche d'enquête et d'analyse pour des licornes de l'IA, des entreprises du Fortune 10 et des leaders technologiques américains. L'entreprise offre des services qui permettent aux équipes de sécurité et aux dirigeants technologiques de rester en avance sur les menaces évolutives, de stimuler l'innovation et de protéger leurs marques. Leur travail inclut l'évaluation des modèles d'IA face aux menaces, le développement de systèmes de détection des menaces en temps réel et la surveillance des cybermenaces pour améliorer la sûreté et la sécurité de l'IA tout au long du cycle de développement du produit.

Description

• Build tools, automation, and infrastructure that support scalable adversarial testing of AI systems and applications. • Build and maintain realistic, repeatable, security test environments using cloud infrastructure and automation tools such as Terraform. • Collaborate with red teamers and engineers to reproduce, investigate, and remediate vulnerabilities uncovered during AI security assessments. • Develop and automate attack simulations to validate security controls, identify potential failure modes, and improve the resilience of AI-powered systems. • Conduct threat modeling and security design reviews for new systems and features. • Collaborate closely with software engineers to integrate security throughout the development lifecycle.

🎯 Exigences

• 3–5 years of professional experience in Cybersecurity, Security Engineering, Software Engineering, or a related field. • Bachelor's degree in Computer Science, Cybersecurity, Computer Engineering, or a closely related topic. • Professional experience with Python. • Experience using git/github in a collaborative environment. • Experience building or securing cloud environments using Amazon Web Services (AWS) or Google Cloud Platform (GCP). • Strong understanding of Linux systems, networking, and modern web technologies. • Experience automating cloud infrastructure using an Infrastructure as Code tool (Terraform preferred). • Familiarity with Docker, Kubernetes and various virtualization technology stacks. • Familiarity with large language models (LLMs), AI systems, or AI security concepts. • Demonstrated hands-on experience conducting penetration tests, red team assessments, adversary emulation, or comparable offensive security work. • Strong understanding of authentication, authorization, and common web security vulnerabilities. • Excellent debugging and problem-solving skills. • Strong written and verbal communication skills.

🏖️ Avantages

• Performance-based annual bonus • Support for conferences, continuing education, or leadership training • Comprehensive health, dental, and vision coverage • Generous PTO and paid holiday schedule • 401(k) plan