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6 дней назад

Senior Security Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Security Engineer (AI): Protecting a cloud-native revenue platform and sensitive customer data with an accent on cloud infrastructure hardening, threat modeling, detection and response, and AI/ML security. Focus on building infrastructure- and policy-as-code controls, investigating security events, securing AI-driven systems, and partnering with engineering to remediate vulnerabilities.

Location: Guadalajara, Mexico; hybrid role requiring onsite presence in the Guadalajara office as needed. Candidates must be based in Guadalajara.

Company

hirify.global is building an AI-powered Predictive Revenue System that helps enterprise revenue teams make confident decisions using revenue data and insights.

What you will do

  • Own and improve the platform's security posture across cloud infrastructure, applications, and data.
  • Threat-model systems and features and partner with engineering to build security into products from the start.
  • Drive detection, investigation, and response for security events and strengthen controls based on findings.
  • Harden AWS or GCP infrastructure and implement secure configuration through infrastructure-as-code and policy-as-code.
  • Assess and help secure AI/ML systems and the sensitive data flowing through them.
  • Partner with engineering and IT to remediate vulnerabilities and improve the company-wide security posture.

Requirements

  • Strong experience in security engineering, ideally securing modern cloud-native platforms.
  • Hands-on expertise with cloud security on AWS or GCP, including infrastructure hardening and secure configuration.
  • Experience with threat modeling, vulnerability management, detection, and incident response.
  • Proficiency in a scripting or programming language used to build security tooling and automation.
  • Strong collaboration skills and the ability to partner with engineering to build security into systems.
  • Experience with infrastructure-as-code and policy-as-code for security enforcement.
  • Experience with application security and secure SDLC practices.

Nice to have

  • Exposure to securing AI/ML systems, data pipelines, or LLM-powered features.

Culture & Benefits

  • Inclusive and supportive workplace focused on culture add rather than culture fit.
  • Security, engineering, and infrastructure share ownership of the company's security posture.
  • Cross-functional collaboration with Platform Engineering, IT, and Infrastructure.
  • Equal employment opportunity for employees and applicants.

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