At Zettabyte, we’re building the infrastructure layer for the AI-first world. Our mission is to make AI compute ubiquitous, seamless, and limitless by operating a cloud where AI workloads run securely at massive scale—anywhere, anytime.
We run a multi-tenant GPU cloud for AI developers and enterprises. Security isn’t a support function here—it’s a core platform capability.
Why this role exists
Zettabyte is scaling a shared, high-performance AI compute platform in a space where traditional cloud security models break down. Multi-tenant GPUs, high-speed networking, and untrusted customer workloads introduce security challenges that don’t have off-the-shelf answers.
We’re hiring a Staff Security Engineer to define and own the security architecture of our platform. You’ll operate with wide latitude, shaping how isolation, detection, and trust are built into the system from day one.
This role is ideal for someone who thrives in early-to-mid stage environments, enjoys working through ambiguity, and wants to build security systems that scale with the business—not slow it down.
What you’ll do
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Own the end-to-end security architecture for multi-tenant Kubernetes GPU clusters
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Design tenant isolation, egress control, and network segmentation across compute, storage, and networking layers
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Define and implement runtime security and intrusion detection for untrusted AI workloads
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Build security primitives (identity, secrets, encryption, policy enforcement) that platform teams build on
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Secure the software supply chain, from CI/CD pipelines to container admission
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Lead threat modeling and security design reviews for new platform features
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Drive compliance readiness (SOC 2, ISO 27001) without slowing engineering velocity
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Act as a force multiplier: unblock teams, set standards, and raise the security bar across the org
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Lead security incident response and turn incidents into systemic improvements
What we’re looking for
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7+ years of experience in security engineering for cloud-native, infrastructure, or distributed systems