Lead and grow a high-performing team of storage engineers and operators across multiple regions.
Own the technical delivery for Vultr's block, object, and file storage products across all performance tiers.
Ensure five-nines availability, durability, and performance SLAs across the global storage fleet.
Vultr provides high-performance cloud infrastructure solutions including compute, GPU, bare metal, and storage services globally. With 33 global data centers and hundreds of thousands of active customers across 185 countries, Vultr is the world's largest privately-held cloud infrastructure company.
Define and drive the product roadmap for cloud storage services powering AI and HPC workloads.
Collaborate with engineering teams on storage system design, performance optimization, and reliability.
Support cross-functional initiatives across engineering, product, and go-to-market teams.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use automated systems to review applications and share top-fitting candidates directly with employers.
Architect, deploy, and manage Red Hat OpenShift clusters across on-prem and cloud environments.
Automate cluster lifecycle operations using GitOps and infrastructure-as-code tools.
Enable application teams through self-service onboarding, CI/CD integration, and platform documentation.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies. The company focuses on objective, fair review of applications and shares shortlists directly with employers.
Lead core infrastructure and SRE teams to ensure the highest reliability and performance for massive GPU computing demands.
Oversee HPC networking and distributed storage engine innovation to support massive multi-node AI workloads.
Build and scale a high-output engineering org while partnering cross-functionally with product and GTM leadership.
Runpod is the AI Developer Cloud, providing a platform for over one million developers to experiment, train, fine-tune, deploy, and scale AI. As a small, remote-first team that closed a $100M Series A, we move fast and take ownership seriously.