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17 часов назад

Cloud Security Engineer (AI)

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

Cloud Security Engineer (AI): Owning the security posture of multi-cloud infrastructure and customer-hosted data planes with an accent on hardening Kubernetes and Terraform stacks. Focus on building paved-road controls, shipping detections, and automating security workflows using agentic coding tools.

Location: On-site in San Francisco, New York City, or Seattle

Company

hirify.global is an AI observability platform that connects evals and observability in one workflow to help builders understand and improve AI behavior in production.

What you will do

  • Own security architecture for internal AWS environments and customer-deployed stacks across AWS, Azure, and GCP.
  • Write Terraform modules and policy code to make secure paths the default for infrastructure shipping.
  • Harden Kubernetes footprint, including admission controllers, network policies, workload identity, and runtime detections.
  • Build and tune detections across cloud control planes and identity providers, owning the alert pipeline end-to-end.
  • Lead incident response and convert incidents into durable controls and codified runbooks.
  • Partner with customers on self-hosting, network architecture, key management, and tenancy.

Requirements

  • 5+ years in cloud security, infrastructure security, or security engineering with a heavy hands-on approach.
  • Deep AWS expertise (IAM, VPC, KMS, GuardDuty, CloudTrail) and fluency in Azure or GCP.
  • Strong Terraform skills and a track record of implementing security guardrails in IaC pipelines.
  • Production Kubernetes security experience, including admission controllers and network policies.
  • Proficiency in Python, TypeScript, or Go.
  • Experience with compliance regimes such as SOC 2, ISO 27001, HIPAA, or FedRAMP.

Nice to have

  • Experience securing self-hosted enterprise software or multi-tenant SaaS.
  • Experience with LLM-heavy workloads, including model proxy abuse and agent sandboxing.

Culture & Benefits

  • Medical, dental, and vision insurance.
  • Daily lunch, snacks, and beverages.
  • Flexible time off.
  • Competitive salary and equity.
  • AI Stipend.

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