Careers at Nebius Group

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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. Behind every search request is a rich stream of signals — query patterns, retrieval decisions, crawling outcomes, ranking quality, usage, and revenue events. Turning that stream into a trustworthy, queryable data platform is what makes the product improvable, the business measurable, and the models trainable. The Role We are looking for a Data Engineer to help build and scale the data platform behind our search quality, ML pipelines, product analytics, and business operations. In this role, you will contribute across the full data lifecycle: ingesting data from production systems, designing and evolving our data warehouse, building batch and streaming pipelines, and making high-quality datasets available to researchers, engineers, analysts, and product teams across the company. The platform spans tens of terabytes and ingests data from tens of proprietary and third-party sources — including our search engine and its components, CRM, billing, identity, and product analytics across multi-region production environments. Around 100 internal users rely on it daily. You will work closely with engineers and stakeholders across the company, contribute to architectural and modeling decisions, and help improve the reliability, usability, and scalability of the data platform as it grows. In this position, your responsibility will be to: Contribute to the design, development, and operation of Tavily's data platform — from real-time ingestion through data warehouse medallion layers to consumer-facing datasets and dashboards. Build and maintain reliable batch and streaming pipelines that ingest data from production services and external systems. Design and evolve scalable, analytics-ready data models in the data warehouse. Work closely with engineers across the company to ensure data produced by production systems is reliable, well-structured, and usable downstream. Improve observability across the data platform, including data quality checks, freshness monitoring, lineage, schema evolution, and cost controls. Partner with researchers, engineers, analysts, finance, and product managers to deliver trustworthy datasets for product, search quality, ML, and GTM analytics. Contribute to defining the objects, entities, and relationships that represent Tavily's search domain — including agent inputs, URLs, chunks, agent sessions, crawls, and the connections between them — and translate them into clean, queryable data models. Improve engineering practices around testing, documentation, deployment, and incident response. Investigate and resolve production data issues, including broken pipelines, corrupted datasets, schema changes, and large-scale backfills. Contribute to technical standards and best practices for data engineering across the company. Help maintain high standards of data quality, integrity, security, and governance across environments. You may be a good fit if you: Have 5+ years of Data Engineering experience, with strong experience designing and implementing scalable, analytics-ready data models and cloud data warehouses such as Snowflake or BigQuery. Have hands-on experience with Snowflake, or a comparable cloud data warehouse, and a strong understanding of modern data warehouse architecture, preferably including medallion-style modeling. Have deep knowledge of databases, including schema design, query optimization, and familiarity with NoSQL use cases. Have strong experience with modern data orchestration and transformation frameworks such as Airflow and dbt. Understand cloud data services on AWS or GCP and have experience with streaming platforms such as Kafka or Pub/Sub. Have hands-on experience with Spark, MapReduce, or similar distributed processing systems, and understand when distributed processing is the right tool. Are fluent in Python and SQL for production data work. Have operated data systems in production: debugged them under pressure, recovered from data incidents, handled schema changes, and backfilled corrupted or incomplete datasets. Care deeply about data quality and about making datasets understandable and trustworthy for the people using them. Are comfortable working on ambiguous, cross-functional data problems and collaborating closely with both technical and non-technical stakeholders. 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: 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. We are looking for a Lead Software Systems Engineer - GPU Performance to play a key role in building our hyperscaler platform, working across its core components while analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software. You will operate across the full stack—from hardware and system software to networking (InfiniBand/RoCE), virtualization (KVM/QEMU), and distributed communication layers (e.g., MPI, NCCL). In this role you will Focus on understanding system behavior across multiple layers, identifying performance bottlenecks, and driving improvements that shape how our clusters are built, operated, tuned, and validated. Investigate and troubleshoot performance issues of GPU cluster under real workloads (training and inference) Evaluate and integrate new hardware, system configurations and tuning approaches through software stack Support complex performance-related escalations from internal teams and customers Work closely with infrastructure, software engineering and hardware vendor teams (e.g. NVIDIA, Mellanox, Intel) Contribute to hardware and cluster qualification (acceptance), ensuring systems meet performance expectations We expect you to have: 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python). We conduct coding interviews as part of the process. Key employee benefits: Health insurance: 100% company-paid medical, dental and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave : 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. #LI-LH2 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $170,000 — $300,000 USD 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: 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 Senior Backend Software Engineer to join our Observability Platform team in Amsterdam or remotely. Building a reliable and profitable cloud platform is impossible without world-class observability. It spans every layer of the stack — from developer tooling and CI/CD pipelines to Kubernetes, managed services, databases, networking, and customer workloads. Our mission is to provide a unified ecosystem for logs, metrics, traces, alerting, and troubleshooting that enables engineers to understand and operate systems at scale. You will build and scale the core services behind this platform, working on high-volume telemetry ingestion, distributed storage, query engines, alerting pipelines, and new ways to help engineers make sense of operational data, including AI-assisted troubleshooting. We expect you to have: 5+ years of professional software engineering experience Strong knowledge of Golang or willingness to quickly switch to it Experience building distributed backend systems Solid understanding of software reliability, scalability, and performance Ability to troubleshoot complex production issues Teamwork-oriented approach and strong communication skills It would be an added bonus if you had: Experience building or contributing to observability platforms, telemetry systems, or related open-source projects such as Prometheus, Grafana, Loki, Jaeger, OpenTelemetry, VictoriaMetrics, Mimir, Tempo, or similar technologies Experience using ClickHouse in production 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: 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 seeking an IT Infrastructure Engineer – RMA & Hardware Diagnostics to own advanced hardware troubleshooting and RMA lifecycle management within our production data center environments. This role serves as the escalation point for complex server and firmware-related issues that impact system reliability and fleet availability. You will be responsible for deep diagnostics across enterprise server platforms, performing structured root cause analysis, validating failed components, and managing end-to-end warranty replacement processes with OEM vendors. This is a hands-on technical role with direct impact on hardware reliability, SLA performance, and operational scalability. You will work on-site in one of our data centers, collaborating closely with L1/L2 technicians, infrastructure engineers, and vendors to reduce repeat failures and improve overall hardware quality across the fleet. *]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-69e2a372-fb84-8336-9e1a-01cc950eb9db-55" data-turn-id-container="request-69e2a372-fb84-8336-9e1a-01cc950eb9db-55" data-testid="conversation-turn-606" data-scroll-anchor="false" data-turn="assistant"> You will work out of our Minnesota data center location. Your responsibilities will include: Perform advanced firmware and hardware diagnostics on enterprise server platforms, including CPU, memory, PCIe devices, GPUs, storage subsystems, and power components Troubleshoot complex hardware failures using system logs, BMC/IPMI interfaces, BIOS diagnostics, and vendor-specific tooling Act as the primary escalation point for L1 and L2 technicians on high-impact hardware incidents Conduct structured root cause analysis and document findings to prevent repeat failures Own the full RMA lifecycle, including validation of failed components, warranty claim creation, vendor coordination, tracking, and resolution Interface directly with OEM vendors to escalate recurring hardware defects and drive corrective action Analyze hardware failure trends and report metrics such as repeat RMA rates and component reliability Develop and standardize diagnostic playbooks, troubleshooting workflows, and hardware validation procedures Validate replacement components prior to redeployment into production environments Collaborate cross-functionally with data center operations, procurement, and engineering teams to improve hardware lifecycle processes Contribute to reducing MTTR and improving fleet-wide reliability through process improvements and knowledge sharing We expect you to have: 5+ years of hands-on experience working with enterprise server hardware in a production data center environment Deep understanding of x86 server architecture, including CPUs, memory, PCIe devices, storage controllers, GPUs, and power subsystems Strong experience performing firmware and BIOS/BMC diagnostics and upgrades Advanced Linux command-line troubleshooting skills, including log analysis and hardware-level diagnostics Experience working with remote management interfaces such as IPMI, iDRAC, iLO, or equivalent Proven experience managing hardware RMA processes and working directly with OEM vendors Ability to conduct structured root cause analysis and document technical findings clearly Familiarity with hardware monitoring systems and failure trend analysis Strong ownership mindset and ability to operate independently in mission-critical environments High proficiency in spoken and written English It will be an added bonus if you have: Experience performing board-level diagnostics and component-level repair (SMD rework) Familiarity with data center networking equipment and basic network troubleshooting Experience supporting GPU-dense or high-performance compute environments Valid driver’s license Compensation We offer competitive salaries, ranging from $112,700.00 - $140,800.00 OTE (On Target Earnings) based on your experience and skills. 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: 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 a IT infrastructure engineer to troubleshoot and solve data center IT hardware issues, process the RMA. This is a position for a technical expert working at the intersection of multiple technical and operational domains. Your responsibilities will include Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting Execute workarounds and solutions for IT hardware issues Act as a subject matter expert and point of escalation for L1 and L2 technicians Create new processes and documentation for IT hardware team Collaborate with related departments to im Collaborate with vendors on warranty replacements (RMA), create requests and manage. Improve support processes, documentation and training materials Requirements Knowledge of datacenters, and server equipment Deep knowledge of IT hardware and practical experience of troubleshooting Skills working with the Unix/linux operating system and command line Experience with equipment monitoring, data analysis and presentation Proactiveness and sense of responsibility High proficiency in spoken and written English It will be a bonus if you have Skills of repairing electronics at the component level (SMD) Knowledge of network equipment and troubleshooting Driving license type B 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: 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. Summary: We are seeking an AI Full-Stack Developer to build and scale automation solutions across internal company processes using AI, LLMs, and agent-based systems. This role focuses on delivering practical automation solutions, integrating AI capabilities with internal tools, and orchestrating workflows across multiple systems, with a dynamic range of tasks that offer both quick wins and complex challenges. Responsibilities: Build AI-driven automation solutions using LLMs, APIs, and agent frameworks. Develop systems to automate document processing, data extraction, and operational workflows. Design and implement multi-step automated workflows connecting AI models and internal services. Integrate automation solutions with internal systems such as HR, finance, legal, dashboards, and ticketing tools. Deliver and iterate practical automation solutions swiftly, from simple GPT/AI integrations to complex workflows. Train and support internal teams on newly built or optimized systems for strong adoption and self-sufficiency. Collaborate with Technical Team Lead, Product Manager, and IT teams on architecture and system integration. Communicate clearly with internal stakeholders and external partners or vendors. Required Skills: 5+ years of experience working as a Full-Stack Developer Strong programming skills in Python, TypeScript, JavaScript, and React. Experience building backend services and API integrations. Practical experience with LLM APIs or AI-based services. Strong familiarity with AI developer ecosystems. Proven ability to use AI-assisted coding tools effectively. Ability to work independently and efficiently. Familiarity with workflow automation systems or distributed architectures. Preferred Qualifications: Experience building AI agents or multi-step AI workflows. Experience with prompt engineering or LLM orchestration frameworks. Experience integrating with enterprise systems or internal business tools. Familiarity with event-driven architectures, queues, and task orchestration systems. Experience in teaching non-technical users how to utilize developed systems effectively. 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: 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 a Senior Backend Software Engineer to help develop our hyperscaling platform. We have a lot of tasks on Golang and little less on Java and Python. You’re welcome to work from our office in Prague, Berlin, London or in Amsterdam, hybrid or remotely. In this position, your responsibility will be to: Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more. We expect you to have: 5+ years of professional software engineering experience Excellent knowledge of Golang or you are ready to quickly switch to this programming language Ability to write reliable code and dig into complex problems Teamwork-oriented approach It would be an added bonus if you had: Experience designing high-load and scaling services We conduct coding interviews as part of the process. 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: 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 Senior Backend Software Engineer to join our Cloud Monetization Platform team in Amsterdam or remotely. Our platform powers the commercial foundation of Nebius Cloud. Every GPU hour, storage operation, network transfer, reservation, enterprise contract, or customer payment flows through the systems we build before becoming revenue. Unlike traditional billing systems, our platform combines several challenging engineering domains. You'll design clean abstractions for a rapidly evolving business model, build reliable distributed workflows where correctness and consistency are as important as performance, and help shape a modern platform from the ground up. We expect you to have: 5+ years of professional software engineering experience Strong knowledge of Python or willingness to quickly become productive with our technology stack Experience building distributed backend systems and microservice architectures Understanding of distributed transactions, consistency models, and reliable asynchronous workflows Experience designing scalable backend services Strong communication and ownership mindset It would be an added bonus if you had experience building Billing, payments or pricing systems Technology stack: Python, gRPC, Temporal, YDB , Kafka-like messaging, Kubernetes, 25+ microservices. 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: 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 Senior Backend Software Engineer to join our Cloud Monetization Platform team in Amsterdam or remotely. Our platform powers the commercial foundation of Nebius Cloud. Every GPU hour, storage operation, network transfer, reservation, enterprise contract, or customer payment flows through the systems we build before becoming revenue. Unlike traditional billing systems, our platform combines several challenging engineering domains. You'll design clean abstractions for a rapidly evolving business model, build reliable distributed workflows where correctness and consistency are as important as performance, and help shape a modern platform from the ground up. We expect you to have: 5+ years of professional software engineering experience Strong knowledge of Python or willingness to quickly become productive with our technology stack Experience building distributed backend systems and microservice architectures Understanding of distributed transactions, consistency models, and reliable asynchronous workflows Experience designing scalable backend services Strong communication and ownership mindset It would be an added bonus if you had experience building Billing, payments or pricing systems Technology stack: Python, gRPC, Temporal, YDB , Kafka-like messaging, Kubernetes, 25+ microservices. 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: 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. New data center development: We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment. The role We’re looking for an IT Infrastructure Engineer to support IT operations in multiple datacenters around the world. This is a position for a datacenter hardware expert working at the intersection of multiple technical domains You’re welcome to work in our office in London, England. Your responsibilities will include: Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture, network configurations and advanced troubleshooting Take charge of hardware problem management and develop new solutions Act as a subject matter expert and point of escalation for team members Collaborate with R&D to improve our hardware designs Create new processes and documentation for IT hardware team Improve support processes and training materials Travel to datacenters to participate in large scale hardware projects and collaborative events We expect you to have: Knowledge of datacenters, server and network equipment Deep knowledge of IT hardware and practical experience of troubleshooting Advanced skills working with the Unix operating system and command line Advanced network troubleshooting skills Experience with equipment monitoring, data analysis and presentation Proactiveness and sense of responsibility High proficiency in spoken and written English It will be an added bonus if you have: Technical certifications in relevant areas Skills in design and repairing electronic equipment Driving license type B 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.