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8 дней назад

Infrastructure Engineer (Cloud Security)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Infrastructure Engineer (Cloud Security): Building and operating cloud and bare-metal infrastructure for training and serving customer-specific AI models with an accent on AWS security, multi-tenant isolation, and production reliability. Focus on designing secure boundaries across ingestion, training, and inference, evaluating infrastructure providers, and leading security operations, incident response, and compliance work.

Location: On-site in hirify.global's San Francisco office, United States

Company

hirify.global develops AI models trained continuously on each customer's documents, messages, code, and knowledge bases.

What you will do

  • Build and operate cloud infrastructure for training and serving customer models.
  • Design and maintain isolation boundaries for customer data, training runs, and models across cloud and hirify.global-managed bare-metal compute.
  • Partner with researchers and engineers to develop secure, standardized infrastructure patterns.
  • Evaluate and secure infrastructure providers and tools, including Modal, Baseten, Fireworks, bare-metal compute, and Kubernetes.
  • Lead security operations and customer trust activities, including logging, monitoring, incident response, security reviews, and compliance work.

Requirements

  • Bachelor's degree or equivalent practical experience in computer science, engineering, machine learning, or a related field.
  • Four years of work experience as a software engineer or equivalent, excluding internships.
  • Production infrastructure experience on AWS, including IAM expertise with cross-account roles, STS, resource and key policies, KMS, and multi-account organizations.
  • Infrastructure-as-Code experience with Terraform or similar at multi-account scale, including secure patterns for networks, IAM, and shared services.
  • Experience applying a rigorous approach to multi-tenant isolation.
  • A track record of owning complex, production-critical systems end to end.
  • Comfort with ambiguity and high ownership at an early-stage company.
  • Strong production-grade coding skills in Python, Rust, or a similar language; the role includes shipping code as well as configuration.
  • No prior machine learning experience is required.

Nice to have

  • Experience as an early infrastructure or security hire at a startup.
  • Experience with machine learning infrastructure, including GPU training and model serving.
  • Experience supporting enterprise security reviews and compliance programs such as SOC 2.
  • Open-source contributions, talks, or writing on cloud or infrastructure security.
  • Experience with Azure or GCP.

Culture & Benefits

  • Work in person from the San Francisco office.
  • Join an early-stage company with high ownership and ambiguity.
  • Competitive cash compensation and startup equity.
  • Equal opportunity employment and an inclusive hiring approach.

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