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7 дней назад

Staff Software Engineer - Security (AI)

160 000 - 230 000GBP
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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