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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Head of Security (AI/GCP): Building and leading Labhouse’s security program across consumer mobile applications, GCP infrastructure, company systems, AI features, and compliance with an accent on application security, mobile protection, cloud hardening, and incident response. Focus on identifying and mitigating risks in iOS and Android apps, securing LLM-powered features, establishing detection and response capabilities, and sequencing the program by risk.
hirify.global develops consumer subscription applications for iOS and Android with a GCP backend and LLM-powered features.
What you will do
Own hirify.global’s end-to-end security program as the first dedicated security hire, reporting to the CTO and prioritizing work by risk.
Build application security practices including threat modeling, secure development, code review, and protection against reverse engineering, API abuse, account takeover, and in-app purchase fraud.
Harden GCP cloud infrastructure and CI/CD through infrastructure as code, least-privilege access, secrets management, logging, monitoring, and alerting.
Establish company security controls including SSO, MFA, device management, access reviews, and employee and vendor onboarding and offboarding.
Manage vulnerability discovery, penetration testing, bug bounty or disclosure programs, incident response, post-mortems, and user communications when needed.
Develop AI security guardrails, data protection, privacy, governance, risk assessments, vendor risk management, and certification readiness for standards such as SOC 2 and ISO 27001.
Requirements
Experience leading security at a fast-growing technology company as Head of Security, Security Lead, or in a similar role, ideally as the first or an early security hire.
Deep hands-on application security experience with iOS and Android applications and backend APIs, including strong knowledge of OWASP MASVS and OWASP Top 10.
Strong GCP security skills covering IAM, networking, secrets management, and infrastructure as code.
Ability to read and review code and build security tools and automation, for example with Python or Go.
Experience handling real security incidents from detection through post-mortem.
Excellent analytical skills, pragmatic risk prioritization, strong judgment, autonomy, and ownership from day one.
Good spoken and written English, with the ability to explain security risks to technical and non-technical colleagues and collaborate with engineering, product, and IT.
Daily use of AI tools and understanding of their security risks.
Nice to have
Mobile reverse engineering and anti-tampering experience with tools such as Frida, Jadx, Ghidra, or app hardening tools.
Experience fighting fraud in subscription applications, including receipt validation, App Attest, Play Integrity, and bot protection.
Experience securing LLM-powered features, AI agents, and third-party AI APIs, including OWASP Top 10 for LLMs and red-teaming.
Experience securing applications that handle sensitive financial or document data.
Experience leading SOC 2 or ISO 27001 certification, or knowledge of GDPR, HIPAA, NIS2, and the AI Act.
OSCP, OSWE, GMOB, or CISSP certification.
Track record in bug bounties, CVEs, open-source security tools, or conference talks.
Culture & Benefits
Hybrid work arrangement in Barcelona, with remote work available from Spain.
Close collaboration with engineering, product, IT, founders, and the CTO.
Opportunity to build the security function and team from an early stage.
Hiring process
Answer the first-90-days question, including the first areas to assess and the top three expected risks across the mobile applications, GCP backend, and LLM-powered features.
Explain how AI tools are used in personal work, identify one company-level AI risk, and describe a mitigation that does not ban AI tools.
List two or three sources used to stay current on mobile, cloud, or AI security and describe one useful recent takeaway from one source.
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