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About Volta Volta is the category-defining, fully vertically integrated AI infrastructure platform – from capital to clusters to software, under a founder-led enterprise. Our mission is The Utility of Compute™: AI…
Lead a team building and scaling the Kubernetes and GPU compute platform that powers Volta’s AI infrastructure, focusing on reliability, security, and scalable architecture.
Build and operate Kubernetes-native GPU compute infrastructure for AI workloads, writing production-grade operators and controllers to manage compute, storage, networking, and APIs.
Build and operate Kubernetes-native GPU infrastructure for AI workloads, writing production-grade operators and controllers to manage compute, storage, networking, and APIs across multi-region clusters.
Design and operate GPU-scale data-center networks (leaf-spine, EVPN/VXLAN) while writing production Python/Go to automate, validate, and instrument the fabric for AI training workloads.
Lead EMEA platform engineering for Volta, a GPU compute infrastructure provider, overseeing teams, architecture, and reliability while aligning with the US-based VP of Platform Engineering.
Lead a platform engineering team building and scaling Kubernetes-native GPU infrastructure for AI workloads, owning compute, storage, networking, and APIs while managing engineers and driving technical direction.
Lead the engineering team building Volta’s multi-tenant GPU cloud platform, including IaaS, bare-metal provisioning, and network fabric, while scaling the org to 50+ engineers across the US and EU.
You’ll implement and maintain security controls for ISO 27001 and SOC 2 Type II, automate evidence collection, and partner with engineers to keep audits and customer due diligence running smoothly.
Builds and maintains the network automation platform for Volta’s massive GPU clusters, including a machine-readable source of truth, generated configs, and a simulated fabric for pre-deployment validation.
Leads product strategy for scheduling and orchestrating workloads across Volta's GPU fleet to maximize compute efficiency and customer value.
Leads product strategy for security and confidential computing features on Volta's AI platform, ensuring sensitive workloads can run securely. Works with engineering to ship trust-critical infrastructure.
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