2 месяца назад
Incident Response Leader
275 000 - 344 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Incident Response Leader (AI Infrastructure Security): Leading end-to-end incident response across corporate, cloud, endpoint, network, and data center environments with an accent on detection engineering, digital forensics, and threat hunting. Focus on building the incident response function from scratch, reconstructing sophisticated attacks, and converting investigations into permanent security improvements.
Location: Austin, TX; New York, NY; San Francisco, CA; Seattle, WA; or U.S. Remote. Location type: On-site.
Salary: $275,000–$344,000 per year, plus equity
Company
builds and operates large-scale compute infrastructure and data centers for frontier AI.
What you will do
- Lead incident response across corporate, cloud, endpoint, network, and data center environments.
- Build detection logic, response playbooks, forensic tooling, severity models, on-call rotations, and escalation paths.
- Conduct investigations by correlating cloud, endpoint, network, and physical security signals.
- Perform containment, eradication, post-incident reviews, and executive-facing incident reporting.
- Partner with security and IT teams to close gaps identified during investigations.
Requirements
- Experience leading major security incidents from initial alert through resolution.
- Experience building detection logic and response playbooks for real intrusions.
- Experience with digital forensics across cloud, endpoint, and network evidence.
- Experience establishing or substantially rebuilding an incident response program.
- Experience with proactive threat hunting and clear reporting for engineers and executives.
Nice to have
- Experience defending AI labs, financial infrastructure, or critical infrastructure against nation-state threats.
- Cloud-native forensics with AWS or GCP, detection engineering, SIEM or SOAR tooling.
- Malware analysis or reverse engineering experience.
Culture & Benefits
- Full autonomy and end-to-end ownership.
- High-velocity, first-principles working environment.
- Base salary, equity, benefits, and pay-equity commitment for full-time roles.
- Work focused on securing frontier AI infrastructure and highly valuable model weights.
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