Security Engineer

🕒 il y a 23 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👮‍♂️ Cybersécurité / Ingénieur Sécurité

🗣️🇺🇸🇬🇧 Anglais requis

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Softgic

51 - 200 employés

Fondée en 2011

💼 Conseil

🤝 B2B

🤖 Intelligence artificielle

Consulting • B2B • Artificial Intelligence

Softgic est une entreprise de services de transformation numérique et cognitive qui propose des solutions personnalisées pour le développement de logiciels, l'automatisation, le cloud et la cybersécurité, ainsi que des technologies émergentes aux entreprises clientes. Avec plus de dix ans d'expérience, Softgic offre des "labs" spécialisés pour la Conception de Solutions (UX, Agile, design de processus), le Développement (codage, low-code, mobile, DevOps), le Métavers (VR/AR, blockchain, NFTs, économie virtuelle), les Données (Big Data, BI, IA/ML), l'Automatisation (RPA, BPM) et la Mise en Production (cloud, opérations IT, cybersécurité). La société met l'accent sur des services personnalisés axés sur l'entreprise, avec des équipes dédiées et des engagements basés sur les projets pour aider les clients à moderniser l'infrastructure, rationaliser les processus et adopter des technologies avancées.

Description

• Lead the security execution of an autonomous AI agent platform. • Validate the platform's security posture throughout the development lifecycle. • Focus on AI-specific risks such as prompt injection, tool misuse, secrets management, authorization, and auditability. • Work closely with Engineering, Product, and Platform teams to identify vulnerabilities early. • Perform threat modeling, define security controls, and ensure readiness for internal and external security reviews before release.

🎯 Exigences

• 5+ years of experience in Application Security , Product Security, or Secure Software Development Lifecycle (Secure SDLC). • Hands-on experience performing threat modeling and security reviews for modern applications. • Strong understanding of application security principles, authentication, authorization, and secrets management. • Experience identifying and mitigating security risks in AI applications, LLMs, or autonomous agent systems. • Familiarity with prompt injection, indirect prompt injection, tool misuse, jailbreak techniques, and AI-specific attack vectors. • Experience reviewing audit logging, security controls, and compliance requirements. • Strong analytical and problem-solving skills with an adversarial security mindset. • Experience collaborating with engineering teams throughout the software development lifecycle. • Advanced conversational English (B2+).

🏖️ Avantages

• Remote Job

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