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Design and build automation platforms that manage large-scale server fleets for a cloud provider specializing in AI infrastructure, using Python or Go.
Build and maintain low-level monitoring, alerting, and automation systems for Nebius's global AI cloud infrastructure, ensuring reliability and observability across thousands of servers and data center systems.
Builds and optimizes cloud services for managing virtual machines on GPU servers, including Kubernetes-based orchestration, KubeVirt/QEMU virtualization, and system-level Linux performance tuning for AI workloads.
Builds and optimizes low-level GPU kernels and runtime components for an AI inference platform, integrating new hardware and collaborating with ML teams to improve performance at scale.
Own the product direction for Soperator, Nebius's Slurm-on-Kubernetes control plane for GPU clusters, shaping how ML engineers run and scale distributed AI workloads using cloud infrastructure and orchestration tools.
Owns and delivers a workstream within large-scale data center and GPU infrastructure programs, coordinating cross-functional teams and tracking progress for AI cloud deployments.
Oversee end-to-end production of AI datacenter servers and racks, coordinating ODMs, procurement, logistics, and deployment while managing risks and timelines for GPU-heavy infrastructure.
Technical project manager overseeing IT infrastructure projects in data centers, focusing on GPU clusters, high-speed networks, and storage systems for an AI cloud platform.
Technical Project Manager driving IT infrastructure projects for a cloud platform serving the AI economy, focusing on GPU clusters, networking, and storage in data centers.
Technical Project Manager plans and oversees AI cloud infrastructure deployments in data centers, coordinating GPU servers, high-speed networks, and storage systems across multiple locations.
Senior Backend Engineer builds and scales the observability platform for a cloud AI infrastructure provider, focusing on telemetry ingestion, distributed storage, and query engines using Go and related technologies.
Technical Product Manager building an AI cloud platform that supports training and inference at scale, focusing on GPU orchestration, reliability, and developer experience.
Senior Site Reliability Engineer responsible for designing, scaling, and maintaining Kubernetes-based infrastructure and CI/CD pipelines for an AI-native company powering agentic web interactions.
Owns the operational health and SLA compliance of Nebius' global data center fleet, coordinating maintenance, audits, and vendor relationships to ensure reliable AI cloud infrastructure.
Provide legal guidance on IP and IT contracts, open-source compliance, and software licensing for a cloud platform powering AI infrastructure.
Owns the storage product vision and roadmap for a cloud AI platform, defining technical requirements for block, file, object, and HPC storage while balancing performance, durability, and cost.
Design and build a billing platform for a novel AI-powered search engine, handling usage-based pricing, subscriptions, and enterprise contracts with financial-grade accuracy.
Senior engineer embedded with customers to design, build, and deploy cloud infrastructure that runs physical AI workloads like simulation, training, and inference on Nebius's AI cloud platform.
Senior Site Reliability Engineer at Nebius, an AI cloud platform company, automating and scaling data center hardware infrastructure using Linux, Python, and Bash to ensure fault-tolerant, high-performance systems.
Lead a red team to simulate advanced cyberattacks against a cutting-edge AI cloud platform, uncovering vulnerabilities in GPU clusters, inference stacks, and multi-tenant infrastructure to drive security improvements.
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