Lead the end-to-end delivery of GPU clusters and critical IT infrastructure from design through to operational handover. Coordinate cross-functional teams including engineering, networking, and construction to ensure on-time, high-quality project execution.
Manage end-to-end IT hardware logistics across the APAC region, including air and road transport, customs coordination, and RMA flows. Ensure on-time delivery of data center equipment while maintaining compliance and optimizing transportation costs.
You will own the end-to-end delivery of cross-team network infrastructure initiatives in the APAC region, from initial problem definition to successful adoption. This involves defining scope, aligning stakeholders across various engineering teams, and driving technical decisions to ensure reliable and scalable infrastructure.
Serve as the primary technical advisor for enterprise accounts, guiding them through the adoption and expansion of Nebius AI Cloud solutions. Design scalable architectures and lead technical discovery sessions to align customer business priorities with AI infrastructure requirements.
Build and evolve a cohesive visual language for developer-facing websites, programs, campaigns, social content, events, and merchandise. Translate technical information into clear, engaging visuals and create templates and guidelines that help the DevRel team produce on-brand materials efficiently.
Define and improve reliability for APAC network services and infrastructure, including incident response, observability, safer network change workflows, and operational readiness for data centers. Build and lead the region’s SRE team while coordinating with network, platform, and European teams across time zones.
Build and own software services and tooling that automate network operations, enable safe changes, improve observability, and connect network infrastructure with the cloud platform. Lead technical decisions for APAC, collaborate with network engineers and SREs, and hire and mentor the region’s engineering team.
You will act as the senior technical authority for customers, designing and implementing optimized LLM inference and fine-tuning workflows. Additionally, you will mentor other Solutions Architects and influence the platform roadmap by partnering with engineering and research teams.
Manage end-to-end transportation of data center hardware across European, international, and Israel-related lanes, including freight scheduling, customs clearance, reverse logistics, shipment tracking, and secure delivery. Coordinate with suppliers and internal teams, maintain audit-ready records, manage logistics costs and partner performance, and improve operations through planning, reporting, and process standardization.
You will design, train, and deploy machine learning models for retrieval, ranking, and search relevance within a high-throughput production environment. Additionally, you will collaborate with engineering teams to optimize embedding-based indexing and build evaluation pipelines for agent-native search systems.
The Public Affairs Specialist will lead the development and execution of Nebius' public affairs strategy in Finland, building relationships with government officials and local authorities. They will also provide executive advice on political developments and coordinate advocacy efforts regarding AI infrastructure and industrial competitiveness.
The Regional EHS Manager will own the regional EHS agenda, setting strategy and building a high-performing team to ensure safe, compliant, and sustainable operations. They will act as the senior EHS voice, advising leadership on risk while overseeing governance, incident response, and performance metrics.
Ensure fault tolerance, scalability, and uninterrupted operation of services while solving infrastructure problems. Implement and improve CI/CD processes and support systems used throughout the data-center hardware lifecycle.
You will own the strategy and execution of integrated campaigns, including city-specific, event-based, and evergreen programs to drive brand awareness and demand. You will lead cross-functional teams and agencies to align product marketing, content, and sales efforts toward measurable business outcomes.
You will own the company's identity provider, managing access, authentication, and provisioning across Microsoft Entra ID, Microsoft 365, and Google Workspace. You are responsible for resolving identity-related incidents and designing automated lifecycle pipelines for users and applications.
Lead and coach a high-performing team of Enterprise Solutions Architects while defining the technical engagement model for the Enterprise segment. Engage directly with C-level executives and provide strategic guidance to the product and technology roadmap based on customer needs.
You will lead the go-to-market strategy and solution storytelling for financial services, positioning Nebius AI cloud for capital markets and AI-driven workloads. The role involves creating messaging frameworks, sales enablement assets, and collaborating with cross-functional teams to drive market adoption.
You will serve as the primary technical interface for strategic partners, designing and architecting high-impact integration solutions. Additionally, you will build reference implementations and provide technical leadership to ensure joint customer success.
You will serve as the primary technical interface between Nebius and strategic partners, designing and architecting high-impact integration solutions. Additionally, you will build reference implementations and provide technical leadership to ensure joint customer success.
You will act as a trusted technical advisor to clients, designing and implementing cloud infrastructure solutions for AI/ML workloads. Additionally, you will conduct workshops and PoCs while collaborating with internal teams to optimize pipeline performance and scalability.
The Solutions Architect will design and implement cloud infrastructure solutions while acting as a trusted technical advisor for clients building AI/ML pipelines. They will also conduct workshops, optimize pipeline performance, and collaborate with internal teams to drive product improvements.
You will define the enterprise go-to-market strategy and narrative for Nebius's AI cloud platform to drive pipeline and revenue. You will also lead cross-functional alignment across product, sales, and engineering to ensure effective messaging and field enablement.
You will coordinate complex cross-functional projects, including new region launches and the end-to-end delivery pipeline for AI models. Your role involves managing dependencies, identifying risks, and ensuring technical goals are met predictably across engineering and platform teams.
The Public Affairs Specialist will monitor legislative developments and manage engagement with policymakers, community stakeholders, and industry partners. They will draft policy briefs, coordinate advocacy initiatives, and ensure business alignment with regulatory expectations.
You will drive customer acquisition and growth across Japan by building strategic territory plans and leading complex, high-value sales cycles. This involves managing multi-stakeholder negotiations, delivering product demonstrations, and fostering long-term executive relationships.
The Account Executive will drive customer acquisition and growth across the APJ region by building strategic territory plans and managing complex, high-value sales cycles. They will lead multi-stakeholder negotiations and partner with internal teams to deliver tailored AI and cloud solutions to enterprise clients.
The Account Executive will drive customer acquisition and growth in South Korea by building strategic territory plans and managing complex, high-value sales cycles. They will lead multi-stakeholder negotiations and partner with internal teams to deliver tailored AI and cloud platform solutions.
Lead technical discovery and architectural validation for high-performance AI inference workloads to ensure scalability and economic viability. Partner with Sales and Engineering teams to drive deal strategy, define success criteria for Proof of Concepts, and translate customer requirements into production-ready solutions.
The Senior Customer AI Engineer will lead the transition of customer AI workloads from proof-of-concept to production, ensuring stability, scalability, and cost-efficiency. They will act as a trusted technical partner to customer engineering teams, proactively identifying bottlenecks and managing production incidents.
You will design and build large-scale rendering infrastructure to transform modern web applications into structured content for AI agents. This involves optimizing browser-based rendering, JavaScript execution, and resource utilization at an internet scale.
The Senior Commercial Manager will oversee commercial activities, including provider funding, contractual commitments, and change orders for data center operations. They will act as the primary coordinator between internal teams and external data center providers to ensure project delivery and financial alignment.
Lead the transition of customer AI workloads from proof-of-concept to production while ensuring stability, scalability, and cost-efficiency. Act as a primary technical partner to resolve production issues and drive continuous improvement based on customer feedback.
Lead the transition of customer AI workloads from proof-of-concept to stable, performant, and scalable production environments. Act as a trusted technical partner to resolve bottlenecks, manage incidents, and provide optimization guidance to customers.
Define and execute the strategic partnership strategy to accelerate growth through technology, OEM, and distribution channels. Collaborate cross-functionally with Sales, Product, and Engineering teams to turn partnerships into measurable business outcomes and revenue.
You will build and scale a world-class Forward Deployed Engineering organization to ensure the success of AI companies on the Nebius platform. This involves defining the operating model, establishing technical excellence, and converting partner engagements into reusable platform improvements.
You will manage relationships with VC firms and early-stage founders to drive startup program adoption and growth. Additionally, you will oversee the end-to-end customer journey, from onboarding and technical deployment to scaling production workloads.
The associate will support the global investor relations program by preparing earnings materials, analyzing financial performance, and tracking investor sentiment. They will also collaborate across internal teams to communicate the company's strategy and business developments to the investment community.
You will design and execute adversarial simulations and red team engagements across the Nebius cloud platform to identify security vulnerabilities. Additionally, you will collaborate with detection and response teams to validate security coverage and provide actionable remediation guidance.
You will own the vision and roadmap for commercial agreements and pricing mechanics within the billing platform to drive revenue growth. This involves translating commercial intent into scalable product capabilities and partnering with cross-functional teams to support complex deal structures.
Design scalable GPU cluster architectures spanning compute, networking, storage, and control planes, and model AI/ML workloads to guide performance and infrastructure tradeoffs. Collaborate with networking, storage, site reliability, and data center teams to validate interconnects, improve reliability, and operationalize architecture across multiple sites.
The Head of Employee Relations will define and implement the global strategy for employee relations and performance management. They will also build constructive relationships with works councils and ensure all organizational practices comply with local legal requirements.
The Senior Manager will own the global SEO and Generative Engine Optimization (GEO) strategy, driving execution across content, web, and product marketing teams. They will establish a unified measurement framework to track organic visibility, AI citations, and business outcomes while advising senior leadership on growth opportunities.
You will lead the Platform Experience group to define the vision, strategy, and roadmap for a unified developer experience across the Nebius AI Cloud. This involves managing a team of product managers to optimize developer journeys, API consistency, and resource management from PoC to production.
You will be responsible for tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in high-performance computing environments. Additionally, you will integrate new hardware into the infrastructure and enhance automation systems for proactive monitoring and issue resolution.
You will own the optimization of model and endpoint performance, focusing on latency, throughput, and cost-efficiency for frontier AI models. This involves working across the full stack to diagnose bottlenecks, implement inference engines, and deliver measurable production improvements.
Lead, mentor, and develop a regional network engineering team while driving the deployment and operational execution of APAC network infrastructure. Act as the primary regional authority to ensure global network alignment and provide hands-on technical expertise for data center fabrics and backbone development.
Produce scientific and technical reviews of AI models, research papers, and industry trends while creating engaging visual narratives like infographics and diagrams. Collaborate with researchers and multimedia producers to communicate complex technical ideas across various formats including reports, webinars, and social content.
Manage end-to-end recruitment for technical roles across Data Centre Operations, IT Infrastructure, and Engineering. Build and maintain talent pipelines while partnering with hiring managers to drive candidate attraction and ensure efficient hiring processes.
You will own the design, delivery, and operation of complex data pipelines, datasets, and platform components. You will also collaborate with product and business teams to translate requirements into scalable data models and reliable technical solutions.
You will take end-to-end operational and deployment ownership of the network stack across APAC sites, including data centers and transport fabrics. Additionally, you will collaborate with global engineering teams to maintain connectivity and participate in on-call rotations.
You will own the end-to-end technical execution of infrastructure design, build, and production rollout for strategic customers and ISV partners. Additionally, you will translate repeated infrastructure challenges into reusable platform capabilities to improve the core Nebius AI cloud platform.
The role involves managing the end-to-end lifecycle of enterprise SaaS applications, including procurement, deployment, and optimization. You will also collaborate with security, legal, and compliance teams to ensure governance and operational excellence across the enterprise platform ecosystem.
Drive revenue growth by managing partner-sourced and partner-influenced sales across the North American ecosystem, specifically with Nvidia, GSIs, and channel partners. Collaborate with field sales teams to integrate partners into account strategies and execute joint GTM plays.
You will implement and maintain end-to-end network security architectures for enterprise and data center environments using Zero Trust principles. Additionally, you will operate and troubleshoot security solutions, including NGFW platforms, IPS, and NDR, while collaborating with architects to ensure robust security designs.
The Procurement Manager is responsible for the technical and commercial procurement of mission-critical OFCI equipment for data centers. This includes managing vendor selection, contract negotiations, and overseeing the delivery and installation readiness of long-lead electrical and mechanical systems.
You will manage the connectivity lifecycle for data centers, acting as the primary technical bridge between internal teams and external telecommunications partners. Responsibilities include overseeing fiber pathway architecture, negotiating commercial agreements, and ensuring seamless integration of infrastructure into the global network.
You will own the full sales cycle for enterprise accounts in the UK and Nordics, from prospecting to closing deals. Additionally, you will help define the go-to-market strategy and collaborate with leadership to scale the regional business.
Serve as the primary technical point of contact for strategic customers to design, deploy, and scale complex AI/ML solutions on GPU cloud infrastructure. Collaborate with sales and product teams to drive growth, optimize performance, and ensure customer requirements are met through effective stakeholder engagement.
Develop and maintain API-based integrations between internal and external systems while building cloud-native services. Implement automation for system workflows, manage deployment pipelines, and ensure robust data synchronization.
The Technical Program Manager will coordinate technical execution within the Post-Sales organization, ensuring predictable and scalable customer production workloads. They will manage the transition from Pre-Sales to Post-Sales, maintain customer health reporting, and implement process improvements across technical teams.
The security analyst will monitor, investigate, and respond to security incidents while ensuring infrastructure compliance with standards. They will also collaborate with internal and external auditors to provide evidence and implement automation for security compliance.
You will analyze cloud resource consumption and forecast future demand to coordinate infrastructure expansions across data centers. This involves managing the end-to-end process from procurement and delivery to deployment and availability for customers.
The Senior Technical Project Manager will own the end-to-end delivery of new compute regions and GPU clusters from kickoff to production handover. They will coordinate across various engineering teams to manage capacity acceptance, resolve deployment blockers, and ensure infrastructure readiness.
Lead and develop the Sales Engineering function while providing architectural leadership on complex customer engagements. Partner with Sales and Engineering teams to ensure scalable, efficient, and economically viable AI infrastructure deployments.
Own end-to-end technical presales and solution delivery for strategic customers across the Middle East, from discovery through production readiness. Serve as a trusted technical advisor to executive stakeholders while leading complex AI/ML infrastructure and MLOps architecture designs.
You will own the infrastructure and data center narrative, translating complex technical advantages into clear messaging for diverse audiences. Additionally, you will lead local community engagement initiatives to build trust and support for new data center builds.
The Federal Affairs Leader will build and lead the company's federal engagement strategy, establishing a presence in Washington, D.C. from the ground up. They will manage relationships with Capitol Hill and executive branch stakeholders while shaping policy outcomes related to AI, trade, and infrastructure.
You will lead technical presales and solution delivery for strategic customers, acting as a trusted advisor for complex ML/AI infrastructure and MLOps architectures. Additionally, you will drive advanced PoCs, influence product roadmaps, and mentor other Solutions Architects to ensure successful adoption of Nebius AI cloud.
You will lead technical presales and solution delivery for strategic customers, acting as a trusted advisor for AI/ML infrastructure and MLOps architectures. Additionally, you will drive complex PoCs, influence product roadmaps, and mentor other Solutions Architects to ensure successful adoption of Nebius AI cloud.
You will define the positioning, messaging, and go-to-market strategy for AI inference infrastructure products. You will also collaborate with product and engineering teams to drive adoption and support enterprise sales through effective enablement materials.
You will lead, build, and scale a high-performing Solutions Architecture organization across EMEA while partnering with sales leadership to drive technical strategy. The role involves engaging with senior stakeholders at strategic customers and championing the voice of the customer to influence product roadmaps.
Act as the primary technical interface for customers deploying and operating GPU clusters and AI infrastructure on the Nebius platform. Collaborate with internal engineering teams to resolve complex hardware, networking, and software issues while optimizing system performance.
Lead and manage a team of Solutions Architects to deliver successful customer engagements, including PoC delivery and post-sales technical support. Define and maintain operational processes, documentation, and metrics to ensure predictable, high-quality technical outcomes.
Lead and manage a regional team of Solutions Architects to deliver successful customer PoCs and provide post-sales technical support. You will be responsible for team performance, operational processes, and ensuring technical alignment between customer requirements and the platform roadmap.
Manage end-to-end procurement of server and GPU infrastructure for data center builds and maintenance. Coordinate with engineering, logistics, and finance teams while negotiating with vendors to ensure cost-effective and timely supply.
The Security Solutions Engineer will lead the strategic evaluation, market research, and technical validation of enterprise-grade security tools. This role involves designing and executing complex Proof-of-Concept environments to ensure security solutions meet the company's infrastructure and compliance requirements.
The Rewards Business Partner acts as the primary link between global rewards models and the go-to-market organization, ensuring effective execution of compensation and incentive programs. They provide strategic advice to senior leadership while maintaining consistency, fairness, and governance across all GTM rewards frameworks.
The IT Risk & Controls Manager will act as an embedded partner to engineering teams to design, implement, and scale IT SOX and control frameworks. This role involves leading audit readiness, assessing technical risks, and collaborating with stakeholders to ensure compliance across cloud and AI infrastructure.
Act as a trusted technical advisor to clients, designing and implementing cloud infrastructure and MLOps solutions. Collaborate with product and marketing teams while helping customers optimize pipeline performance and scalability.
You will design clean abstractions for a rapidly evolving business model and build reliable distributed workflows for the cloud monetization platform. You will also help shape a modern platform from the ground up, ensuring correctness, consistency, and performance.
Drive applied research and technical direction for agent-native retrieval and ranking systems. Design multi-stage architectures and evaluation paradigms to ground LLMs in real-time web data at scale.
The technician will serve as the first point of contact for IT support, managing tickets and troubleshooting hardware, software, and networking issues. They are also responsible for user account management, asset inventory, and facilitating seamless onboarding and off-boarding processes.
The Healthcare Solutions Partner will drive go-to-market execution and manage strategic client relationships within the healthcare and life sciences sector. They will collaborate with account executives to identify business opportunities and provide domain expertise to support complex deal cycles.
You will define and own reliability goals for network services while building automation to improve site readiness and inter-site connectivity. Additionally, you will lead incident response efforts and design safer change workflows to ensure high availability across the network infrastructure.
Build and maintain services and tooling that automate the network lifecycle, including provisioning, drift detection, and operational verification. Develop observability systems and integrate network data to ensure safe, scalable, and transparent network operations.
You will manage complex technical programs across hardware and software engineering teams to scale the Nebius compute platform. This involves identifying dependencies, mitigating risks, and establishing processes to support the deployment of large-scale GPU clusters.
You will manage the connectivity lifecycle from site assessment to infrastructure delivery, acting as the bridge between internal data center teams and external telecommunications partners. Responsibilities include leading fiber pathway architecture design, negotiating commercial agreements, and maintaining geospatial documentation for network routes.
Lead the development of AI infrastructure projects from executed agreements through construction readiness, managing roadmaps, budgets, and risk registers. Coordinate with utilities, municipalities, and cross-functional teams to ensure projects are fully permitted and ready for delivery.
Lead multidisciplinary technical due diligence for powered land and build-to-suit AI infrastructure opportunities to identify technical risks before capital commitment. Establish repeatable standards, playbooks, and consultant networks to scale the infrastructure acquisition process across the Americas.
Drive complex initiatives for the Virtual Private Cloud team, including launching VPC in new regions and improving platform scalability. Coordinate delivery across multiple engineering teams by turning technical objectives into executable programs and managing dependencies.
Own server and rack-level production projects for large-scale AI datacenter infrastructure, connecting capacity planning with manufacturing and deployment. Manage the end-to-end lifecycle of hardware procurement, production tracking with ODM partners, and risk mitigation to ensure timely delivery.
Lead the end-to-end design process for new data center builds and expansions, focusing on high-density GPU clusters. Coordinate with internal teams and external partners to ensure designs optimize power, cooling, and scalability while meeting regulatory standards.
Develop fault-tolerant and reliable cloud services including managed databases, Kubernetes, and billing systems. Focus on building a hyperscaling platform for the global AI economy.
Build and test LLM-based solutions and applications using Token Factory's inference services. Assist with prompt engineering, model selection, and performance experiments to support proof-of-concept work.
Own the product roadmap and delivery for Dedicated Endpoints for AI Models Inference. Partner with engineering and research to design high-performance tools and drive product-market fit through user research and customer onboarding.
Lead the creation and operation of a Vulnerability Operation Center, managing the full lifecycle from detection to remediation across cloud and hardware stacks. Define processes, select tooling, and coordinate responses to critical zero-day vulnerabilities while driving accountability across engineering teams.
Build and lead the internal red team function to conduct adversarial simulations and penetration testing across the Nebius cloud platform. Research novel attacks against GPU infrastructure and AI managed services to improve overall security posture.
Develop technical courses on the Nebius AI Cloud for B2B and B2C audiences by translating SME materials into learner-friendly content. Collaborate with production teams to create visual aids and continuously improve courses based on student feedback and audits.
Ensure fault-tolerance, scale, and uninterrupted operations for hardware automation services. Implement and improve CI/CD processes while providing real-time visibility and control over data center infrastructure.
Own the end-to-end technical execution of infrastructure design and production rollout for strategic physical AI customers and ISV partners. Translate customer pain points into reusable platform capabilities to influence the core Nebius Physical AI roadmap.
Build and lead the Detection and Response capability from the ground up, owning detection engineering, threat intelligence, and incident response. The role involves architecting coverage across cloud and bare-metal environments and managing a growing team of analysts.
Own the vision, roadmap, and product backlog for cloud storage services including block, file, and object storage. Coordinate cross-company initiatives to optimize data durability, performance, and cost for AI/ML and HPC workloads.
Own the operational health and readiness of COLO and BTS data center sites, ensuring SLAs are met and maintenance is executed. Act as the primary interface between the company and data center landlords to translate site operations into reliable infrastructure.
Own the end-to-end product strategy, roadmap, and delivery for a specific slice of the AI Compute Platform. Drive cross-functional execution across engineering and SRE teams to deliver hyperscaler-quality APIs and infrastructure outcomes.
Build and scale core services for a unified observability ecosystem covering logs, metrics, traces, and alerting. Focus on high-volume telemetry ingestion, distributed storage, and AI-assisted troubleshooting to support a global AI cloud platform.
Design and implement embedded firmware for server management, telemetry, and control systems for GPU and HPC platforms. Maintain custom OpenBMC firmware and collaborate with hardware engineers to validate and optimize low-level drivers.
The role involves building and maintaining ASPM tools to identify and remediate application security vulnerabilities. You will collaborate with development teams to integrate security best practices into the SDLC and conduct penetration testing.
Identify and secure optimal locations for data center developments and colocation expansions through market analysis and technical due diligence. Manage the full colocation lifecycle, including vendor RFPs, contract negotiations, and performance monitoring against SLAs.
Develop the control plane and lifecycle automation for Managed PostgreSQL while tuning database internals for AI workloads. Build migration tooling and drive the integration of vector search capabilities within the Nebius AI Cloud stack.
Maintain and grow DevTools systems, including GitLab and TeamCity, to support large-scale AI cloud infrastructure. Focus on building fault-tolerant architectures and improving system performance based on user feedback.
Design and develop internal web applications to automate data center and GPU cloud infrastructure operations. Collaborate with infrastructure and platform teams to translate operational requirements into scalable frontend solutions.
Plan, design, and oversee the implementation of electrical engineering systems for AI data centers. Collaborate with internal technical teams and external vendors to ensure quality benchmarks are met on time and within budget.
Plan and implement cost-effective mechanical designs and distribution systems for AI data centers. Collaborate with internal partners and external vendors to validate installation and operational performance of mechanical systems.
Lead and support the benchmarking of GPU platforms to evaluate performance for machine learning and AI workloads. This includes profiling GPU performance at the system and kernel level and optimizing ML workloads to resolve bottlenecks.
Design and prototype integrations between partner products and the Nebius platform to define scalable reference architectures. Translate external integration findings into actionable product requirements to shape the platform roadmap.
Serve as a technical advisor helping strategic customers design, deploy, and scale large-scale GPU workloads for AI solutions. Collaborate with sales and product teams to drive growth and relay customer feedback for product enhancement.
You will analyze and optimize the performance of large-scale GPU clusters by identifying bottlenecks across hardware and software layers. Additionally, you will support performance-related escalations and contribute to hardware qualification and cluster validation.
The Lead Systems HPC Engineer will analyze and optimize the performance of large-scale GPU clusters by identifying bottlenecks across hardware and software layers. They will also collaborate with infrastructure and vendor teams to integrate new hardware and support complex performance-related escalations.
You will drive the adoption of the Token Factory platform by creating demos, workshops, and technical guides for AI developers. Additionally, you will act as a bridge between the developer community and the internal product and engineering teams to gather feedback and improve the platform.
The Senior Network Engineer will be responsible for designing, building, and operating large-scale, high-performance data center networks supporting GPU-dense AI workloads, taking end-to-end ownership of service provider–grade and CLOS-based network infrastructure. Responsibilities include designing scalable architectures, owning deployment and lifecycle management of routing/switching infrastructure, and optimizing traffic engineering strategies.
The role involves spending roughly half the time in the field assisting new customers with POCs and technical onboarding, and the other half building prototypes, exploring emerging AI techniques, and translating field insights into product direction. Responsibilities include building demos across the portfolio, supporting customer validation, and feeding grounded feedback into the product roadmap.
The role involves building a distributed, fault-tolerant storage system for the hyperscaler cloud, focusing on high-performance block and filesystem storage capable of sub-millisecond latency and high throughput despite hardware failures. Key work areas include virtualization technologies like virtio-blk and QEMU, high-throughput networking over TCP and RoCEv2, and implementing storage system features like replication and self-healing.
The role involves developing a data plane for Nebius Cloud network services and improving service performance and reliability. Additionally, the engineer will automate complex cross-service interaction scenarios and perform load testing for services.
As a Senior Backend Software Engineer, you will design, build, and operate backend services that are reliable, scalable, and performant. You will own services end-to-end, from architecture to production support.
As a Software Engineer, you will design and build systems for provisioning, configuring, testing, and managing physical hardware at scale. You will collaborate with hardware, networking, and data center operations teams to ensure robust and scalable platforms.
The Senior Software Engineer will design, build, and own backend systems for metrics and monitoring large-scale infrastructure. Responsibilities include evolving metrics pipelines and investigating production incidents.
The Data Center Site Manager is responsible for ensuring the reliability, safety, capacity, and performance of a flagship U.S. site. This includes leading a multi-disciplinary operations team and managing various aspects of data center operations.
The Data Center Technician Manager leads technical teams responsible for cabling, hardware installation, and data center operations. This role involves mentoring technicians and ensuring high-quality execution of installations and maintenance.
Ensure the reliability, availability, and performance of compute nodes running VMs. Troubleshoot complex production issues and lead incident response and root-cause analysis.
Develop and optimize low-level kernels and runtime components for AI inference. Collaborate with ML and backend teams to optimize end-to-end execution.
The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role involves collaboration with various teams to ensure that selected sites meet operational, technical, and business requirements.
The Talent Sourcer will be responsible for sourcing candidates for various roles within Data Centers, including technical positions. They will manage talent pools and collaborate with the recruitment team to ensure a positive candidate experience.
