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    Job · 22246212

    Nebius logo

    Head of Data Center IT Infrastructure

    Nebius · Not specified · onsite · Posted 1d ago

    Not disclosed10–12 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    About Nebius

    Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

    Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

    Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

    The Role

    We're looking for an experienced leader to own data center IT operations across APAC, covering both Nebius-owned and colocation sites. You will lead operations for GPU and high-performance computing (HPC) infrastructure, including high-density and liquid-cooled platforms.

    In this role, you will build and scale the regional operations organization and own the full operational lifecycle: preparing new sites for service, delivering reliable 24/7 support, managing hardware assets and returns, and overseeing changes to infrastructure in production.

    Your Responsibilities Will Include

    Full-stack IT operations

    • Define and run the support model per site: 24/7 L1/L2 on-site, L3, on-call/duty coverage; final escalation point for critical incidents; RCAs and preventive actions.
    • Own post-acceptance change management: upgrades, migrations, maintenance windows, decommissioning.
    • Ensure availability and performance of compute, storage and network infrastructure in operation.

    New sites into operations

    • Own operational readiness for every new DC: staffing, access, tooling, monitoring, ticketing, spares, documentation.
    • Define acceptance criteria and handover from the Project team; sign off on acceptance into operations.

    RMA, asset & spare management

    • Own the global asset lifecycle: intake, CMDB accuracy, audits, decommissioning and e-waste.
    • Own RMA end to end: OEM channels, warranty terms, partner/franchise RMA integrations.
    • Set spare-zone standards and stock levels per site; balance spares against failure rates and SLAs.

    Service governance & vendors

    • Own SLAs and OLAs with platform, storage, network, internal teams.
    • Manage colocation, field-service, outsourcing and OEM relationships: scope, SLAs, performance, disputes.
    • Manage and report operational KPIs, risks and capacity to senior management and colocation tenants.

    Team, processes & compliance

    • Org design and headcount forecasting from the DC launch pipeline; own the hiring pipeline (JDs, interview loops, recruiters, outsourcing, internships).
    • Own ITDC processes, SOPs/runbooks, documentation and Jira/Confluence standards; competency and training frameworks.
    • Ensure audits readiness, security posture reviews, DC access management and EHS adherence.

    We Expect You To Have

    • 10+ years in data center IT operations including hands-on infrastructure support; 5+ years leading managers across multiple sites or countries.
    • Experience taking new data centers or clusters from build into operations.
    • Deep operational knowledge of RMA, asset management and spare planning at scale.
    • Familiarity with GPU/HPC infrastructure and its failure modes.
    • Experience owning SLAs/OLAs and RACI between infrastructure teams; strong ITIL/ITSM grounding.
    • Vendor and contract management with colocation providers, field-service vendors and OEMs.
    • Experience building and scaling teams; fluent English; readiness to travel.

    It Will Be an Added Bonus If You Have

    • Experience with GB200/GB300-class liquid-cooled deployments (DLC, CDU operations).
    • Experience with franchise or outsourced DC operating models.
    • Audits experience; ITIL or PMP certification.

    Benefits & Perks

    • 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

    What's It Like To Work At Nebius

    Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

    Equal Opportunity Statement

    Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

    Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

    If you need accommodations during the application process, please let us know.

    Sourced from foundit

    Skills

    Spare PlanningData Center IT OperationsRMA Asset ManagementitsmITILhigh performance computingVendor and contract management

    About Nebius

    Nebius logo

    Nebius

    Amsterdam

    NL

    About

    Nebius AI is an AI cloud infrastructure company that provides full-stack computing services and platforms. Nebius AI is an AI-centric public cloud platform, launched in late 2023 and specifically crafted to serve AI models from ML training to inferencing at a scale. Our mission is to enable ML practitioners to concentrate on their core job while DevOps, MLOps and infrastructure related tasks are on us. Our goal is to build an ML-specific cloud platform covering the whole ML lifecycle from A to Z: from data preparation and data labeling to ML training and inference.

    Industries

    AI InfrastructureCloud InfrastructureGPUIaaSPaaS

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