Full-Time

Senior Security Engineer

Zettabyte

Zettabyte

1-10 employees

High-performance GPU cloud IaaS provider

No salary listed

United States

Hybrid

Category
IT & Security (1)
Required Skills
Bash
Kubernetes
Microsoft Azure
Python
Threat modeling
Role-based Access Control
AWS
Go
Google Cloud Platform
Requirements
  • 7+ years of experience in security engineering for cloud-native, infrastructure, or distributed systems
  • Deep, hands-on expertise in Kubernetes security (RBAC, PSA, network policies, admission controllers)
  • Strong understanding of cloud security primitives in AWS, GCP, or Azure
  • Experience building or operating runtime security and policy enforcement (Falco, Cilium, OPA, Calico, eBPF-based tools)
  • Solid grounding in network security and zero-trust architectures
  • Practical experience with secrets management and key systems (Vault, cloud KMS)
  • Strong automation skills in Go, Python, or Bash
  • Proven ability to operate autonomously, make architectural decisions, and deliver in ambiguous environments
  • Experience partnering deeply with platform, infra, and SRE teams
Responsibilities
  • Own the end-to-end security architecture for multi-tenant Kubernetes GPU clusters
  • Design tenant isolation, egress control, and network segmentation across compute, storage, and networking layers
  • Define and implement runtime security and intrusion detection for untrusted AI workloads
  • Build security primitives (identity, secrets, encryption, policy enforcement) that platform teams build on
  • Secure the software supply chain, from CI/CD pipelines to container admission
  • Lead threat modeling and security design reviews for new platform features
  • Drive compliance readiness (SOC 2, ISO 27001) without slowing engineering velocity
  • Act as a force multiplier: unblock teams, set standards, and raise the security bar across the org
  • Lead security incident response and turn incidents into systemic improvements
Desired Qualifications
  • GPU isolation and virtualization security (MIG, SR-IOV)
  • InfiniBand, RDMA, or high-performance networking
  • HPC or large-scale multi-tenant compute platforms
  • Security for AI/ML systems or data-intensive workloads
  • Incident response leadership or red team experience
  • Security certifications (CKS, OSCP, CISSP)
  • Open-source contributions in security or cloud infrastructure

Zettabyte provides GPU cloud infrastructure as a service by building and operating AI data centers with on-demand NVIDIA GPUs (H100/A100). Its Zsuite software, including Zware, orchestrates and optimizes AI workloads across multiple GPUs, servers, and data centers, automating resource management and scheduling for AI training and inference. It differentiates itself with turnkey enterprise solutions, energy-efficient liquid-cooled data centers (a first in Taiwan), and partnerships with manufacturers and data-center capacity providers. Its goal is to help customers accelerate AI initiatives worldwide by delivering easy access to powerful compute and efficient workload management.

Company Size

1-10

Company Stage

N/A

Total Funding

N/A

Headquarters

Taipei, Taiwan

Founded

2024

Simplify Jobs

Simplify's Take

What believers are saying

  • Lam Capital, Foxconn, Wistron investments fuel global expansion.
  • Headline Asia funds Japan market entry in 2024.
  • Chief Telecom retrofit proves 45-day AI infra modernization.

What critics are saying

  • NVIDIA DGX Cloud commoditizes Zsuite in 12-24 months.
  • Foxconn, Wistron vertically integrate, cut Zettabyte margins in 18-36 months.
  • Taiwan tensions block NVIDIA GPU exports in 12-36 months.

What makes Zettabyte unique

  • Zsuite's Zware orchestrates AI workloads across GPUs and data centers.
  • TITAN™ designs end-to-end AI data halls with liquid cooling.
  • Sovereign AI Data Centers enable full ownership via BOTT model.

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Company News

PR Newswire
Feb 9th, 2026
Zettabyte and LiteOn collaborate on distributed edge AI inferencing at cell towers

Zettabyte and LiteOn have announced a research and development collaboration to evaluate a distributed edge AI inferencing platform called the Ultra Edge Pod, deployed at cell tower locations. The project aims to bring AI inference workloads closer to users through Mobile Edge Compute platforms, reducing latency and enabling AI readiness in countries without mature data centre infrastructure. LiteOn will provide power, cooling and physical infrastructure, whilst Zettabyte will deliver software for GPU scheduling, orchestration and remote operations. The deployment will demonstrate how integrated infrastructure and software can enable reliable, low-cost AI inference in distributed environments with real-world power and thermal constraints. The platform is designed to support low-latency, location-aware AI inference workloads operating closer to mobile users and radio access networks.

PR Newswire
Jan 28th, 2026
Zettabyte Announces Strategic Investment From Headline Asia to Support Japan Expansion

/PRNewswire/ -- Zettabyte, an AI computing company, today announced a strategic investment from Headline Asia. The investment will support Zettabyte's...

PR Newswire
Aug 1st, 2025
Global AI Data Center Infrastructure Leader Zettabyte Receives Strategic Investment from Lam Capital

Global AI data center infrastructure leader Zettabyte receives strategic investment from Lam Capital.

PYMNTS
Dec 26th, 2024
Foxconn Invests in AI Data Center Firm Zettabyte to Boost Sustainable Computing

Zettabyte has recently announced additional partnerships with Pegatron and Chief Telecom.

Sivastatz
Dec 24th, 2024
Foxconn Announces Strategic Partnership With Zettabyte to Transform AI Data Centers

Foxconn announces strategic partnership with Zettabyte to transform AI data centers.