aikubernetesiaminfrastructure as codestartupincident responsethreat modelingcloud securityproduct security
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$220к-265к/год
$190к$220кмедиана$260к
По похожим ролям (48) ~ $220к/год
На СНГ рынке: $4.2к/мес ($2.9к - $6.7к)
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Крутая вакансия
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Чётко очерченная hands-on роль с высоким уровнем ответственности в быстрорастущей AI-компании предлагает актуальные технические задачи и зарплату на уровне рынка; главный компромисс - работа первым специалистом по безопасности в стартапе.
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Первый в командеАктуальные технологииДомен на подъёмеЗарплата по рынкуСильная поддержка
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Security Engineer, Product & Platform (AI): Defining and implementing product and platform security for AI-native agentic systems, with an accent on threat modeling, cloud infrastructure security, and secure-by-default engineering. Focus on protecting agent behavior and customer data, building detection and incident response capabilities, and supporting SOC 2 controls at enterprise scale.
Location: Seattle, WA; onsite work associated with the Seattle office.
Salary: $220,000–$265,000 annually, plus performance-based annual bonus and equity awards.
Company
hirify.global is building an AI-native system of work for enterprise marketing, using agents to execute campaigns across existing enterprise tools, teams, and workflows.
What you will do
Define and drive product and platform security strategy, prioritizing investments against the most significant risks.
Lead threat modeling for the agentic platform and design protections for agent behavior, permissions, isolation, customer data, and platform boundaries.
Harden application and cloud infrastructure, including production access, IAM, secrets management, and the CI/CD supply chain.
Partner with engineering to build secure-by-default patterns into agents, services, and infrastructure.
Own security detection, logging standards, and incident response for production services.
Represent technical security in enterprise customer reviews and architecture discussions, and own technical SOC 2 controls in partnership with IT and compliance.
Requirements
8+ years of security engineering experience, including Principal- or Staff-level ownership across complex production systems.
Deep product security experience with threat modeling, secure architecture, authentication, authorization, and multi-tenant systems.
Strong hands-on experience with cloud security, Kubernetes, IAM, and infrastructure as code.
A strong technical perspective on securing LLM and agent-based systems, with the ability to reason about emerging risks from first principles.
Experience leading security incident response for production services and improving systems based on lessons learned.
A track record of writing and shipping production code, security tooling, or infrastructure rather than only reviewing others’ work.
Strong judgment and comfort making pragmatic security tradeoffs in fast-moving environments without an established playbook.
Clear communication with engineers, company leadership, and enterprise customer security teams.
Nice to have
Experience as an early security hire at a high-growth B2B SaaS, AI, or infrastructure company.
Experience building security detections, telemetry, and logging pipelines in cloud environments.
Experience implementing technical controls for SOC 2 or ISO 27001, or contributing to AI security research, standards, or open-source security tooling.
Culture & Benefits
Performance-based annual bonus and meaningful equity awards.
Medical, dental, and vision coverage, including fully covered employee premiums and 75% dependent coverage.
Fertility and family-planning support, 401(k), and unlimited PTO.
Seattle office with a gym, sauna, bike parking, and free lunch three days per week.
Flexible work hours, collaborative learning-focused culture, and an AI-first environment with emphasis on ownership, direct communication, and customer impact.
Hiring process
Interviews assess AI literacy, independent thinking, communication, and problem-solving.
Over-reliance on AI-generated interview responses that obscures the candidate’s own perspective may result in disqualification.
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