aiawsllmstartupincident responsethreat modelingapplication securitycloud securitysoc 2it ar
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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£160к-230к/год
£68к£95кмедиана£140к
По похожим ролям (8) ~ £95к/год
На СНГ рынке: $4к/мес ($3.7к - $4.3к)
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У роли понятная зона ответственности, сильный фокус на безопасности AI и заметное влияние на развитие стартапа, но как первый специалист по безопасности вы будете выстраивать это направление почти самостоятельно.
?Первый в безопасности
Безопасность AI
Современный стек
Понятные задачи
Сфера AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer - Security (AI): Defining security architecture and hardening an AI-native requirements platform for defense and aerospace customers with an accent on cloud security, compliance, and secure agentic workflows. Focus on threat modeling, SOC 2 and ITAR readiness, AI/LLM safeguards, incident response, and building detection and vulnerability-management tooling.
Location: London, United Kingdom; onsite
Salary: £160K–£230K plus equity
Company
hirify.global provides an AI-native requirements platform that enables hardware teams to design, validate, and evolve complex systems with AI agents.
What you will do
Own platform-wide security architecture, including threat modeling, secure design reviews, and security standards.
Harden application and cloud infrastructure security across identity, networks, secrets, tenant isolation, and data protection.
Drive SOC 2 readiness and prepare for defense and aerospace requirements, including export control and ITAR.
Secure AI and agentic systems against prompt injection, model-driven data leakage, unauthorized actions, and insufficient guardrails.
Build detection, monitoring, vulnerability-management, and CI/CD security tooling.
Establish and run incident response from detection through postmortems, while supporting customer security reviews.
Requirements
8+ years of production software engineering experience, including operating 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 threat modeling, secure architecture, and incident response skills.
Experience securing AI or LLM systems.
Ability to act as the security lead at a startup and set the security agenda independently.
Nice to have
Experience with export control, ITAR, or FedRAMP.
Culture & Benefits
Fast prototyping of AI workflows followed by production hardening.
Clear ownership from prototype through production, with iterative delivery.
Evaluation, observability, and safety built into the first version of systems.
Meaningful equity, health, dental, and vision coverage.
Flexible time off and support for experimentation, learning, and staying current with the AI ecosystem.
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