Product Security Architect

🕒 il y a 8 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🔴 Expert

👮‍♂️ Cybersécurité / Ingénieur Sécurité

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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BeyondTrust

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1985

🔒 Cybersecurity

💰 Private Equity Round en 2021-05

Cybersecurity

BeyondTrust est une entreprise spécialisée dans les solutions de cybersécurité. Elle conçoit des produits et des services visant à protéger les organisations contre les menaces internes et externes. Ses solutions s’appuient notamment sur le Privileged Access Management (PAM) pour sécuriser et gérer les identités et les identifiants des utilisateurs accédant aux systèmes et aux données critiques.

Description

• Lead threat modeling, attack surface analysis, and secure design reviews across products, platform services, endpoint agents, and cloud-native systems. • Use LLM platforms (Claude, OpenAI) as core tools to scale threat analysis, abuse-case generation, architecture review, and remediation guidance. • Work directly with engineering teams to embed secure-by-default patterns into product development. • Own and expand the Product Security handbook that inferences product context from multiple sources and leverage it for enforcing secure design standards. • Mentor Product Security Engineers and Security Champions on secure design, attack surface reduction, and AI-first security workflows. • Help evolve BeyondTrust's AI-first Product Security Architecture strategy by identifying where AI workflows can replace manual processes.

🎯 Exigences

• 7+ years in Product Security, Application Security, Security Architecture, or Software Security Engineering • Deep, practical experience with threat modeling, attack surface analysis, secure design reviews, and architecture risk analysis at scale, not just in theory • Strong understanding of cloud-native systems, APIs, endpoint agents, thick clients, and identity/security platforms • Hands-on experience using LLM platforms (Claude, OpenAI, or similar) in engineering or security workflows. We'll ask you how you've used them and what you've learned about where they work and where they don't • Ability to influence engineering and product teams. You should not have a mindset to block releases but to be persuasive, credible, and practical • Builder mindset, you've created scalable security workflows, frameworks, or enablement programs, not just consumed them • Experience building AI-native security workflows, plugins, agents, or developer tooling • Background in securing endpoint technologies, identity systems, or enterprise security platforms • Offensive security experience or adversarial testing background, understanding how attackers think sharpens everything else • Cloud security experience across AWS, Azure, or Kubernetes environments.

🏖️ Avantages

• Flexible work arrangements • Professional development opportunities