Чётко очерченная ключевая роль в ведущей AI-компании даёт заметную зону ответственности и работу с важной инфраструктурой, но регулярные поездки на площадки и возможное дежурство стоит учитывать.
Поездки и дежурства
Ответственность от начала до конца
Инфраструктура AI
Автоматизация безопасности
Зарплата выше рынка
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff / Senior Data Center Security Engineer (AI/Data Center Security): Engineering end-to-end security controls, automation, and evidence systems for data center sites, hardware custody, media, personnel, and vendors with an accent on critical infrastructure, continuous compliance, and AI-assisted tooling. Focus on designing verifiable requirements as code, assessing sites and suppliers, responding to physical security events, and building systems that replace recurring manual reviews.
Location: Remote-friendly within the United States, with regular travel to data center sites and at least 25% office attendance expected
Annual salary: $320,000–$405,000 USD
Company
AI company building reliable, interpretable, and steerable systems intended to be safe and beneficial for users and society.
What you will do
Own security controls across physical security, hardware supply chain and custody, media protection, personnel and site access, vendor security, maintenance, and contingency controls.
Build internal tools, automation, and AI agents for evidence collection, access reviews, asset and custody tracking, and partner intake.
Review new data center sites, leases, and vendors; identify gaps, write security terms, and verify remediation.
Write requirements and procedures as code so partners can implement them and assessors can test them.
Assess sites and suppliers, maintain continuous compliance evidence, and engineer compensating controls for deviations.
Respond to site security events with operations teams and operators, document incidents, and improve the controls that failed.
Requirements
End-to-end experience engineering a security control domain, including control design, enforcement-system integration, and verification.
Ability to read and review code, design data systems for security tooling, and build automation using Git and code review, often with AI coding agents.
Hands-on security experience with data centers, critical infrastructure, or a large hardware fleet in at least one relevant security domain.
Experience applying NIST SP 800-53, ISO 27001, or SOC 2 to real systems and producing assessment evidence.
Ability to write requirements that third parties can build to and assessors can test, including verification methods and required evidence.
Bachelor’s degree or equivalent education, training, and/or experience in a relevant field; required experience varies by internal job level.
Nice to have
Experience across multiple security domains, cloud, colocation, or GPU cloud operator environments.
Experience with NIST SP 800-53 federal assessment regimes, including NIST SP 800-161 supply chain and NIST SP 800-88 media sanitization guidance.
Experience building GRC or evidence automation, including automated control checks, asset or custody tracking, assessment pipelines, and docs-as-code workflows.
Experience with physical-site incident response, live data halls, active construction sites, and methods of procedure.
Experience redlining contract security language with legal and procurement teams.
Experience with international sites, personnel screening and staffing restrictions, data residency, export controls, or AI agents replacing recurring manual security work.
Culture & Benefits
Regular travel to critical-infrastructure data center sites is required; on-call participation for security events may be included.
Staff are expected to work from an office at least 25% of the time, with some roles requiring more office attendance.
Visa sponsorship is available, although successful sponsorship depends on the role and candidate; immigration-lawyer support is provided.
Flexible working hours, generous vacation and parental leave, competitive benefits, optional equity donation matching, and an office for collaboration.
Collaborative environment focused on high-impact AI research, communication, and diverse perspectives.
Hiring process
Applicants should review the candidate AI-usage guidance for the application process.
Legitimate recruiting communications come from Anthropic or identified vetted recruiting agencies; recruiters never request money, fees, or banking information before the first day.
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