обновлено 7 дней назад
Staff Software Engineer (AI Security)
240 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI Security) (AI/cloud security): Defining security architecture and hardening an AI-native requirements platform with an accent on application security, cloud infrastructure, compliance, and agentic systems. Focus on securing LLM workflows, building detection and vulnerability-management tooling, and leading incident response from detection through postmortems.
Location: San Francisco, United States; on-site
Salary: $240K–$300K annually, plus equity
Company
provides an AI-native requirements platform that helps engineering organizations design, validate, and evolve complex systems.
What you will do
- Own security architecture across the platform, including threat modeling, secure design reviews, and security standards.
- Harden application security and cloud infrastructure, including identity, networks, secrets, tenant isolation, and data protection.
- Drive SOC 2 readiness and prepare for defense and aerospace compliance requirements, including export control and ITAR.
- Secure AI and agentic systems against prompt injection, model-related data leakage, unauthorized agent actions, and other risks.
- Build security tooling for detection, monitoring, vulnerability management, and CI/CD.
- Establish and lead incident response, including detection, remediation, and postmortems.
Requirements
- 8+ years of experience building production software, including secure cloud services at scale.
- Deep application and cloud security experience with AWS, GCP, or Azure, including identity and access, secrets, network security, and data protection.
- Experience owning security in a regulated or high-trust environment and implementing SOC 2.
- Strong knowledge of threat modeling, secure architecture, and incident response.
- Experience securing AI or LLM systems.
- Ability to independently lead security at a startup and set the security agenda.
Nice to have
- Experience with export control, ITAR, or FedRAMP.
- Experience with TypeScript, Node, Python, modern LLM APIs, orchestration libraries, Postgres, and managed cloud services.
Culture & Benefits
- Competitive salary and meaningful equity.
- Health, dental, and vision coverage.
- Flexible time off.
- Support for experimentation, learning, and staying current with the AI ecosystem.
- Emphasis on rapid AI workflow prototyping followed by production hardening.
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