Senior Security Engineer

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $174 250 - $205 000 / an

⏰ Temps Plein

🟠 Senior

👮‍♂️ Cybersécurité / Ingénieur Sécurité

🦅 Parrain de Visa H1B

infoinfo

👻 Score fantôme 9%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Jasper

Jasper

51 - 200 employés

Fondée en 2021

🤖 Intelligence artificielle

📣 Marketing

☁️ SaaS

Artificial Intelligence • Marketing • SaaS

Jasper est une plateforme d'intelligence artificielle générative conçue spécifiquement pour les spécialistes du marketing. Elle permet aux équipes marketing de disposer d'outils et d'applications IA avancés qui s'intègrent parfaitement aux flux de travail et systèmes marketing existants. Jasper se concentre sur l'amélioration de l'efficacité et de l'efficience marketing en proposant des outils tels que des chatbots IA, l'édition d'images, l'édition de documents et des fonctionnalités de gestion de la marque. La plateforme est fondée sur une base de sécurité et de conformité, garantissant une protection de niveau entreprise tout en exploitant l'IA pour le succès du marketing. Jasper offre également des ressources éducatives et un soutien communautaire pour aider les utilisateurs à maximiser les capacités de la plateforme.

Description

• Lead security design, implementation, and controls for Jasper’s AI infrastructure and AI-powered internal workflows • Build guardrails governing how AI systems access, process, and handle sensitive data • Own threat modeling for AI-specific risks and design controls for validating, logging, and auditing AI outputs • Build security tooling and automated checks for safe internal AI adoption • Collaborate on and influence the direction of Jasper’s Security program • Partner with GRC to automate evidence collection, control monitoring, and compliance workflows • Strengthen infrastructure security across GCP and AWS, including IAM, network segmentation, secrets management, and secure-by-default patterns • Own and improve GitHub security controls, including branch protection, required reviews, secret scanning, dependency/SCA policies, and CI/CD pipeline security • Operate and tune Wiz or equivalent CSPM/CNAPP tooling to identify and drive remediation of cloud misconfigurations and vulnerabilities • Use AI tools in code review, triage, detection engineering, and documentation • Help security and engineering teams adopt AI safely • Partner with Engineering, Legal, Product, IT, and GRC to translate security and compliance requirements into practical engineering solutions • Report to the Director, Security

🎯 Exigences

• AI fluency, including understanding of LLMs, agents, copilots, tokens, credits, context windows, RAG, and data governance • 8+ years in security engineering • Hands-on experience across at least two of AI/ML security, cloud infrastructure security, and/or GRC compliance engineering • Practical experience securing AI systems, including LLM applications, agents, or ML pipelines • Familiarity with prompt injection, data leakage, model abuse, and insecure tool use • Deep understanding of security principles, best practices, and common vulnerabilities • Ability to identify, prioritize, and address security gaps through automation and tooling • Expertise and curiosity using frontier models and agents to solve security challenges • Experience building security programs, processes, or standards from scratch • Strong working knowledge of GCP and AWS security services and IAM models • Experience with GitHub security controls and secure software supply chain practices • Hands-on experience with Wiz or comparable CSPM/CNAPP platform • Comfort building automation and tooling using scripting, APIs, and infrastructure-as-code • Experience building or securing AI agent frameworks, agent tool-calling systems, or internal AI platforms • Experience supporting SOC 2, ISO 27001, or similar compliance frameworks • Experience with GRC platforms such as Vanta or Drata • Background in detection engineering or building internal security tooling • Experience as an early or first specialized hire on a small security team • Experience working in AI infrastructure platforms such as Modal or CoreWeave • Must be legally eligible to work in the United States • Role requires at least two years of valid U.S. work authorization

🏖️ Avantages

• Comprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families • 401(k) program with up to 2% company matching • Equity grant participation • Flexible PTO • FlexExperience budget ($900 annually) • FlexWellness program ($1,800 annually) • Generous budget for home office set up • $1,500 annual learning and development stipend • 16 weeks of paid parental leave

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