Staff Security Engineer

🕒 il y a 27 jours

🇺🇸 États-Unis – Télétravail

💵 $56 - $77 / heure

⏰ Temps Plein

🔴 Expert

👮‍♂️ Cybersécurité / Ingénieur Sécurité

👻 Score fantôme 9%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Robots & Pencils

Site WebLinkedInTous les Emplois

51 - 200 employés

🤖 Intelligence artificielle

🤝 B2B

☁️ SaaS

💰 Venture Round en 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils est une société d'innovation numérique spécialisée dans le développement de stratégies et de produits numériques en utilisant les technologies mobiles, web et de pointe pour transformer les entreprises. Ils se concentrent sur des domaines tels que le développement mobile, la conception de produits, la recherche UX, l'intelligence artificielle, l'apprentissage automatique et la gestion du changement organisationnel. Avec un engagement à fusionner créativité et technologie, ils visent à débloquer les insights des données et à améliorer l'innovation produit, en offrant finalement d'excellentes expériences client et en aidant les marques à acquérir un avantage concurrentiel.

Description

• Define security architecture and engineering standards across web, API, and cloud-native systems, leading the hardening of complex services • Lead threat modeling and security design reviews across applications and AI systems, setting how risk is identified and prioritized • Architect cloud security controls across identity, network, and data layers, owning IAM strategy, secrets management, and encryption • Lead the integration of security automation into CI/CD pipelines, driving shift-left detection and policy-as-code across teams • Lead detection engineering, logging, and incident response practices across production systems • Own the security of AI and LLM-powered applications in production, defining defenses against prompt injection, data leakage, model abuse, and agentic-AI threats • Lead the design and integration of AI services into production security workflows, including LLM APIs, tool and function calling, and multi-step agent flows for detection and triage • Use tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace • Partner with product, engineering, and leadership to shape security strategy and align technical direction with business outcomes • Translate complex security tradeoffs, risks, and opportunities into clear narratives for technical and non-technical stakeholders • Lead security reviews and technical discussions, raising engineering rigor across the team • Engage with engineering, data, and client teams to align security work with business priorities and measurable outcomes • Define security architecture and engineering standards, including responsible AI practices • Mentor and grow junior and mid-level engineers through coaching, code reviews, and pairing • Own ambiguous, high-stakes work through production with attention to reliability, cost, and safety

🎯 Exigences

• Position is remote based in the US; applicants outside of the US will not be considered • 7+ years of professional security or software engineering experience • At least 3 years leading application and cloud security initiatives • Deep expertise in application security, secure coding practices, and the OWASP Top 10 • Strong experience with threat modeling, penetration testing, vulnerability management, and secure code review • Deep cloud security expertise across identity, network, and data layers • Strong experience embedding security automation and policy-as-code into CI/CD pipelines • Strong experience with detection engineering, logging, and incident response at scale • Strong experience securing AI and LLM-powered applications, including prompt injection, data leakage, model abuse, and agentic-AI threats • Experience with security, compliance, and governance frameworks • Demonstrated leadership and technical mentoring experience across a team or organization • Strong stakeholder communication skills, with the ability to translate technical depth across audiences • Demonstrable, day-to-day usage and expert knowledge of AI-forward tools such as Claude and Cursor • Excellent problem-solving skills and the ability to navigate highly ambiguous technical and business challenges with sound judgment

🏖️ Avantages

• Paid time off • Medical insurance • Dental insurance • Vision insurance • 401(k)