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Nscale

Develops and operates AI data centers

Senior Staff Security Engineer - Platform Security

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 12 years of experience in security engineering, platform or infrastructure engineering, or security architecture, with a deep focus on platform security.
  • Experience at a cloud services provider securing or assessing infrastructure-as-a-service services where the platform was the product and tenants were untrusted by default.
  • Deep understanding of multi-tenant isolation across bare metal, hypervisors, container boundaries, and network segmentation, including how to prove separation.
  • Hands-on knowledge of GPU or accelerator infrastructure, including passthrough and partitioning, firmware and baseboard management controller management, and hardware-reuse failure modes between tenants.
  • Strong grasp of multi-tenant storage security, including encryption and key management, access-path control, and data lifecycle across snapshots, backups, and reuse.
  • Working knowledge of virtual networking, including overlay and underlay design, segmentation, and management-plane separation.
  • Deep knowledge of Kubernetes and container internals, including runtimes, namespaces and control groups, escape paths, admission control, and workload identity.
  • Ability to influence engineering organizations the role does not manage, set standards, make evidence-based arguments, and drive remediation without formal authority.
  • Comfort operating with ambiguity and a founding-team mandate, creating the evidence base while building the program.

Responsibilities

  • Perform deep-dive security reviews of Nscale’s infrastructure-as-a-service services one service at a time, producing documented architecture, threat models, findings, and remediation plans.
  • Define the security requirements baseline for each service and review designs and implementations against it.
  • Prioritize findings by exploitability in the operating environment.
  • Advise leadership on what is known, verified, accepted, and required to close platform security gaps.
  • Review the bare-metal and virtualized GPU compute stack, including host provisioning, hypervisor and GPU passthrough or partitioning, firmware and baseboard management controller management, and tenant reprovisioning.
  • Verify that tenants cannot reach, persist on, or learn from hardware after their leases end.
  • Assess the out-of-band management plane and its separation from tenant-reachable networks.
  • Review block, object, and file storage services for tenant data separation, encryption at rest and in transit, key management, and access-path control.
  • Verify snapshot, backup, and volume lifecycle handling, including secure deletion and reuse across tenants.
  • Review the virtual network layer, including overlay and underlay design, tenant segmentation, east-west controls, and the boundary between tenant networks and the management plane.
  • Test that network segmentation holds under realistic tenant behavior, not only design assumptions.
  • Review multi-tenant Kubernetes, including admission control, workload identity, runtime and node hardening, network policy, and container escape paths.
  • Review Slurm and high-performance computing scheduling for isolation between jobs and tenants, privilege boundaries, and node reuse.
  • Drive testing of isolation boundaries and gather evidence demonstrating separation of customer workloads.
  • Partner with platform, site reliability engineering, and infrastructure engineering to land fixes and secure-by-default patterns.
  • Influence teams the role does not manage without becoming their ticket queue.
  • Track control coverage and remediation trends.

Desired Qualifications

  • Experience securing or assessing Slurm and high-performance computing environments.

About the Company

Nscale

Develops and operates AI data centers

Nscale provides end-to-end AI infrastructure by designing, owning, and operating data centers, GPU compute, networking, storage, and managed AI cloud services for enterprises, governments, and AI developers. It offers a full stack from colocated data centers to high-performance GPUs and networking, plus managed cloud services, so customers can run AI workloads efficiently with sovereign European deployments powered by renewables and US campus expansions. Unlike many peers, Nscale combines complete infrastructure ownership with a focus on sovereign, renewable-powered sites and strong capital partnerships to support large-scale, secure AI workloads. Its goal is to become a leading, scalable AI infrastructure provider that enables governments, enterprises, and AI builders to deploy and run AI applications quickly and securely on sovereign data centers with global capacity.

Company size
1,001-5,000
Company stage
N/A
Total funding
$13.2B
Headquarters
London, United Kingdom
Founded
2024

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