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14 часов назад

Director Of Platform And Product Security (AI)

225 000 - 250 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
UK/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

Director of Platform and Product Security (AI): Leading the security strategy for a Kubernetes-based multi-tenant AI cloud platform with an accent on infrastructure hardening, supply chain integrity, and secure SDLC. Focus on designing scalable security controls, governing AI-assisted development, and balancing robust protection with high deployment velocity.

Location: Hybrid (London, New York, Seattle)

Salary: $225,000 - $250,000 USD

Company

hirify.global is a high-performance GPU cloud provider engineered specifically for AI start-ups and large enterprises.

What you will do

  • Own the security architecture for Kubernetes-based infrastructure, including workload isolation, RBAC, and runtime enforcement.
  • Build and operate supply chain security capabilities, including image signing and provenance verification.
  • Integrate security tooling like SAST, SCA, and DAST into CI/CD pipelines to support secure software delivery.
  • Define governance patterns for the safe use of AI coding tools and evaluate risks in AI-generated code.
  • Partner with engineering teams to identify, prioritize, and remediate vulnerabilities across the platform.
  • Lead cloud security posture management across multi-cloud environments including AWS, GCP, and Azure.

Requirements

  • 15+ years in security engineering with at least 5 years in a leadership role.
  • Deep hands-on experience designing security controls for Kubernetes-orchestrated production infrastructure.
  • Proven experience securing platforms that run customer workloads with shared responsibility boundaries.
  • Strong engineering orientation with the ability to engage directly on architecture, code, and tooling decisions.
  • Familiarity with security implications of AI-assisted development, including prompt injection and insecure code generation.
  • Experience securing workloads in multi-cloud environments across AWS, GCP, or Azure.

Nice to have

  • Experience in GPU, HPC, or AI workload environments.
  • Exposure to tools such as CSPM platforms, Sigstore, Cosign, Terraform, OPA Gatekeeper, Kyverno, Go, or Python.

Culture & Benefits

  • Highly competitive compensation package including base, bonus, and equity.
  • Dynamic progression plan tailored to individual ambitions.
  • Human-First flexibility with autonomy to shape the workday.
  • Opportunity to shape the future of global AI infrastructure deployment.

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