--- title: 'Data Center - IT Infrastructure Technical Project Manager at Nebius' canonical: 'https://feeny.ai/job/data-center-it-infrastructure-technical-project-manager-nebius-hyderabad-kyfm0xrra8p8' type: 'job' last_seen: '2026-10-17' --- # Data Center - IT Infrastructure Technical Project Manager at Nebius - **Company:** Nebius - **Location:** Hyderabad, India - **Posted:** 2026-10-07 - **Last confirmed live:** 2026-10-17 - **Apply:** https://careers.nebius.com/?gh_jid=4995342101 ## Job description 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 are looking for a Technical Project Manager to own IT infrastructure in Nebius data centers from the moment it is accepted into operations: acceptance of new sites and GPU clusters from the Project team, and delivery of projects and changes in live production environments. You will work with modern GPU clusters — GPU servers, high-speed networking, compute and storage — acting as the link between the Project team, DC engineers, vendors and IT Operations. This role represents IT Operations in those projects, sets the acceptance bar and owns the transition into steady-state operations. Your responsibilities will include: - Acceptance & operational readiness of new sites and clusters - Represent IT Operations in new site and cluster projects from the planning stage: define acceptance criteria and operational readiness requirements upfront, before build starts. - Own the acceptance process: readiness assessments, acceptance testing against agreed criteria, punch lists, operational sign-off. Acceptance is mandatory — no site or cluster moves into operations without it. - Prepare operations for takeover: operational procedures, tooling, documentation, on-site processes, spares and vendor support in place before sign-off. - Manage the transition period from Project team to IT Operations, including defect follow-up and closure of open items after handover. - Operations projects & change management in live DCs - Manage and deliver IT infrastructure projects and change requests in production data centers: hardware deployments and replacements, capacity changes in accepted clusters, network and cabling changes, decommissioning. - Own the change lifecycle for DC IT infrastructure: change requests, risk and impact assessment, MOPs, maintenance windows, rollback plans, post-implementation review. - Manage risks and dependencies in live environments; proactively identify technical, operational and process issues and drive them to resolution. - Stakeholders, communication & documentation - Lead communication with all stakeholders: transparent progress reporting, expectation management, escalation of critical blockers, timely decision-making. - Lead project meetings, technical reviews and operational readiness discussions with a focus on clear ownership, actionable outcomes and execution. - Maintain project and operational documentation: acceptance criteria and reports, risk registers, issue logs, operational procedures, handover documentation, deployment reports. - Cross-functional coordination & operational excellence - Coordinate engineering, infrastructure, network, security, procurement, hardware lifecycle and operations teams across acceptance and operational phases. - Work directly with data center engineers, vendors, contractors and operations teams. - Lead operational reviews and planning with internal teams; improve reliability, response times and workflows. - Contribute to automation, process improvements and design support as needed. We expect you to have: - Proven experience in data center IT infrastructure operations, preferably in high-performance or AI-oriented environments. - Experience accepting IT infrastructure into operations: defining acceptance criteria, running readiness assessments, taking handover from project teams. - Experience running changes in live production environments: change requests, MOPs, maintenance windows, rollback planning. - Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations. - Hands-on experience with IT hardware in data centers; comfortable on site during live operations. - Experience in project delivery, team coordination and cross-team collaboration. - Strong problem-solving skills; ability to troubleshoot technical and workflow issues across the IT stack. - Ability to document processes, maintain tracking systems and produce clear acceptance, deployment and handover reports. - Strong stakeholder management; clear communication between technical and business teams. - Ownership, drive and follow-through — including the ability to refuse sign-off when criteria are not met. - Ready for regular business trips, including on-site presence during acceptance of new sites and clusters. It will be an added bonus if you have: - Structured project management or delivery frameworks (PRINCE2, PMI, Agile). - ITIL / formal change management experience. - Relevant technical certifications. - Familiarity with GPU clusters / AI workloads. 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. ## About Nebius ## Company Overview - **One-liner**: Nebius builds a full-stack AI cloud platform providing GPU-accelerated infrastructure and services for training, fine-tuning, and deploying AI models at scale. - **Entity Type**: Public (ticker: NBIS on Nasdaq) - **Headquarters**: Amsterdam, Netherlands - **Founded**: 2024 (as Nebius Group N.V., the successor to the former Yandex N.V.) - **Founders**: Arkady Volozh (founder of Yandex) ## Core Business - **Primary industry**: AI Cloud Infrastructure & Services (Technology, Information and Internet) - **Target customers**: AI innovators of all sizes — from startups to research institutes to enterprises — across sectors including healthcare, life sciences, robotics, finance, and entertainment, as well as national AI programs. - **Mission or purpose statement**: To become one of the world's largest AI infrastructure companies, building the infrastructure for the age of AI. ## Products & Services - **Nebius AI Cloud**: A full-stack cloud platform offering raw GPU compute, serverless and managed inference, and MLOps tooling. Built on custom hardware with non-virtualized GPUs and InfiniBand networking, designed for high performance and reliability. - **Nebius Token Factory**: A service for running and managing large-scale inference workloads, including serving open-source and custom models. - **Nebius Echo**: An AI agent built directly into the Nebius console for operational support. - **Nebius Agents Blueprint**: An open architecture for building production-ready AI agents. - **Reference Platform NVIDIA Cloud Partner**: A designation for partners operating large clusters built in coordination with NVIDIA, adhering to a tested and optimized reference architecture. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed in the search results; as a public company (NBIS), market cap fluctuates daily. - **Key Metric**: Total funding raised: **$10.29 billion** (including a $4.3B post-IPO equity round in March 2026, a $2.8B convertible note in September 2025, and a $1.4B post-IPO equity round in May 2011). Notably, a **$27 billion** long-term AI infrastructure supply agreement with Meta was announced in 2026. - **Notable Investors/Partners**: Meta (long-term infrastructure agreement), NVIDIA (Reference Platform Cloud Partner), Bloom Energy (power infrastructure partnership). - **Growth Signals**: - **Headcount**: 900 employees (+114.9% YoY growth; +8.2% monthly growth). - **Active Job Postings**: 145 open roles (Yearly growth: +866.7%). - **Key Metrics**: Claims to offer better TCO for fine-tuning and inference vs. AWS; reports a 70% reduction in AI setup pipeline time for a partner (RoboForce); operates with a mean time between failures (MTBF) of 56.6 hours for a 3,000-GPU cluster. - **New Initiatives**: Launching the "Nebius Early Talent Program" for early-career engineers; announced an AI factory launch team in Lappeenranta, Finland; acquired Tavily and licensed Clarifai's inference IP. ## Competitive Advantages - **Custom Hardware**: Non-virtualized GPUs with InfiniBand networking, providing raw, dedicated performance without the overhead of virtualization. - **Full-Stack, Hyperscaler-Like Platform**: Combines the scale and reliability of a hyperscaler with the performance of a supercomputer, including built-in MLOps tooling. - **NVIDIA Reference Platform Partner**: A trusted partner with a validated, optimized architecture for large-scale AI workloads. - **Elasticity**: Offers flexible consumption options from small experiments to global-scale deployments. - **Deep Engineering Talent**: Built around a core of 500+ AI experts and hundreds of engineers with deep expertise in building world-class tech infrastructure (many from Yandex). ## Strategic Focus - **Massive Infrastructure Build-Out**: Executing on a multi-billion dollar agreement with Meta and expanding data center capacity in Europe and the US. - **Power & Energy Partnerships**: Partnering with Bloom Energy to secure reliable, on-site power for AI infrastructure. - **Product Innovation**: Continuously releasing new products (Echo, Agents Blueprint, Token Factory) to capture more of the AI developer workflow. - **Talent Acquisition**: Aggressively hiring across engineering, sales, and operations to support hypergrowth, with a dedicated Early Talent Program. - **Ecosystem Expansion**: Targeting specific verticals like healthcare, life sciences, and robotics with dedicated solutions and partnerships. ## Why Work Here - **High-Impact Work**: Employees solve some of the hardest technical problems in AI, building infrastructure that powers the next generation of technology. - **Culture**: Described as fast-moving, with a culture of trust and autonomy. New ideas are encouraged, experimentation is welcomed, and ownership is part of everyday work. - **Work Model**: Remote-friendly work culture built on trust and autonomy, with flexibility designed around time zones and personal commitments. - **Compensation**: Top-tier pay and benefits. - **Development**: Clear development paths to take careers forward, with mentorship from industry experts. - **Team**: A diverse, multicultural team with hubs across Europe, North America, and the Middle East. - **Notable Perks**: Thoughtful team gatherings, 24/7 support by default, and access to free white-glove proof-of-concepts. ## Sources 1. [Nebius Official Website](https://nebius.com) 2. [Nebius Careers Page](https://nebius.com/careers) 3. [Nebius LinkedIn Page](https://www.linkedin.com/company/nebius) 4. 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