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Senior SWE - Security Infrastructure (AI)

200 000 - 350 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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 SWE - Security Infrastructure (AI) (Python/Go/TypeScript, GCP/AWS): Building security infrastructure, human-in-the-loop systems, and data platforms that protect sensitive AI training and enterprise workflows with an accent on cloud security, access control, incident response, and AI-specific data flows. Focus on designing resilient systems from scratch, automating security operations, identifying vulnerabilities in code and architecture, and securing model interaction layers.

Location: San Francisco; on-site and in-person work required

Salary: $200K–$350K annually, plus equity and bonus

Company

hirify.global is an applied research lab building data solutions, human-in-the-loop platforms, and infrastructure for foundation model development and AI training.

What you will do

  • Build systems that detect and respond to security events across the technology stack.
  • Replace manual security workflows with scalable, programmatic solutions.
  • Strengthen cloud and production environments across GCP/AWS, containers, and networking.
  • Design and enforce access-control systems for internal teams, experts, and customers.
  • Integrate security checks into development workflows and own incident handling from detection through resolution.
  • Secure AI-specific data flows and model interaction layers while contributing to human-in-the-loop systems, core infrastructure, and internal tooling.

Requirements

  • 2–7 years of experience building software or security systems.
  • Strong programming ability in Python, Go, or TypeScript.
  • Experience with cloud environments, including IAM, networking, and containers.
  • Ability to identify vulnerabilities directly in code and system design.
  • Experience creating or maintaining signal-based monitoring and alerting systems.
  • Ability to own production issues and move between security work and general engineering.
  • Experience building internal tools or systems that solve security problems rather than only configuring existing products.

Nice to have

  • Background in fast-scaling startups or high-output engineering teams.
  • Exposure to AI systems, data pipelines, or model evaluation workflows.
  • Familiarity with offensive security techniques.
  • Experience building tools used by other engineers.
  • Evidence of building and shipping systems from zero to production.

Culture & Benefits

  • Work in person with a technically strong team in San Francisco.
  • Medical, vision, and dental insurance.
  • 401(k) with employer match.
  • Daily UberEats meal stipend and monthly wellness stipend.
  • Meaningful equity and opportunities to shape the engineering organization and lead major technical initiatives.

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