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Develop fault-tolerant cloud services, manage databases and Kubernetes, and collaborate in a team-oriented environment. Experienced in Golang is required.

The Technical Project Manager will lead cross-functional cloud infrastructure projects, manage timelines, milestones, and blockers while ensuring stakeholder alignment and project delivery.

The Senior Hypervisor Engineer will optimize I/O for virtual machines, integrate hypervisors with platform services, enhance system support, and improve security for QEMU/KVM virtualization.

The Senior Site Reliability Engineer will ensure fault-tolerance and uninterrupted operations, using innovative cloud technologies, alongside improving CI/CD processes.

Manage end-to-end local IT hardware purchases across Europe and the USA, maintain and grow supplier relationships, coordinate cross-functional teams (IT/engineering, finance, logistics), and create dashboards and reports to ensure timely delivery and task completion.

Lead EMEA go-to-market for Physical AI by sourcing executive-level pipeline, accelerating top accounts, building EMEA-specific playbooks, enabling regional sales, and converting lighthouse wins into sustained cloud consumption across robotics, autonomy, simulation, and related AI-native industries.

Own end-to-end product for a slice of Nebius AI compute platform: define strategy, APIs, and roadmaps; drive cross-team delivery; conduct structured discovery; measure adoption and platform outcomes; engage engineering as a technical peer; and close operational feedback loops to improve reliability and customer experience.

The role involves designing and building internal web applications for Nebius, focusing on automating data center operations and developing user interfaces for infrastructure management.

Build and scale core observability services for high-volume telemetry ingestion, distributed storage, query engines, alerting pipelines, and AI-assisted troubleshooting. Work on reliability, performance, and production incident resolution across a cloud AI platform.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.