Director Of Platform And Product Security (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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