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Build and maintain a distributed, fault-tolerant, high-performance block and filesystem storage system. Work on virtualization (virtio-blk, virtio-fs, QEMU, vhost-user), high-throughput VM-to-storage networking (TCP, RoCEv2/RDMA), and core storage features like replication, consensus, self-healing, and data migration. Debug and optimize performance-critical I/O paths while writing reliable, maintainable code in a collaborative team environment.

Design, implement, and optimize global enterprise wired, wireless, and VPN networks. Own branch connectivity, network automation, monitoring, incident resolution, root cause analysis, equipment evaluation, and telecom provider escalations. Drive scalable, secure, highly available network architecture and automation-first operations across regions.

The Cloud Solutions Architect will design and implement cloud solutions for AI and ML, optimizing client pipelines and providing technical guidance.

As a System Engineer, you'll design, deploy, and maintain cloud systems for AI workloads, troubleshoot complex issues, and collaborate with teams to optimize performance.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

Design, build, and maintain backend systems for metrics and monitoring, collaborate across teams, and debug production incidents.

Lead and manage the data center IT support team to ensure reliable server and network operations. Oversee hardware troubleshooting, installations, upgrades and RMAs, collaborate with internal teams and contractors, maintain documentation, plan recurring IT tasks, and support asset management and project delivery for a large-scale data center site.

The Key Customers Solutions Architect supports GPU Cloud service customers by optimizing AI solutions, managing GPU workloads, and enhancing customer relationships through technical guidance.

Own the vision and backlog for Nebius storage services (block, file, parallel/HPC, object). Define technical requirements (data paths, consistency, replication, erasure coding), make performance/durability trade-offs, coordinate cross-team initiatives, and ensure storage meets durability, availability, scalability, and cost targets for AI/ML and HPC workloads.

Serves as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure. Responsibilities include configuring and tuning GPU environments, troubleshooting hardware, networking, operating system, and cluster issues, coordinating with internal engineering teams, translating requirements into architectures and execution plans, documenting solutions, and identifying performance and reliability improvements.