About Nebius
Nebius builds a full-stack AI cloud platform that supports developers and enterprises from data and model training through production deployment. Its platform provides AI/ML infrastructure across compute, storage, networking, and applied AI.
Responsibilities
•Own region and GPU cluster deployment projects from kickoff through production handover
•Coordinate capacity acceptance, including infrastructure availability, quota allocations, monitoring and alerting, and documented sign-off before regions go to customers
•Coordinate acceptance testing across compute, storage, networking, and GPU engineering teams, and clarify test ownership
•Act as the real-time escalation point during live deployments, resolving blockers such as hardware failures, provisioning issues, and capacity conflicts with on-call teams
•Define and maintain clear delivery contracts and responsibilities between teams
•Drive continuous improvement and automation of repetitive deployment and acceptance-testing work
•Run structured, high-signal status communications to keep stakeholders informed about deployment progress
Requirements
•Proven experience leading technical projects or engineering teams, ideally in infrastructure, cloud, or datacenter environments
•Ability to coordinate multiple engineering teams and drive alignment without formal authority
•Calm, decisive communication under pressure, including during live incidents
•Strong focus on clear ownership and documentation over ad hoc firefighting
•Fluent English
•Applicants must be authorized to work in the country where they apply and provide proof of employment eligibility as a condition of hire
Nice to have
•Experience with cloud/compute capacity management or GPU infrastructure
•Background in large-scale datacenter rollouts
Conditions
•Competitive compensation
•Career growth and learning opportunities
•Flexibility and ownership
•Collaborative and innovative culture
•Opportunity to work on impactful AI projects
•International environment and talented teams
