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    Job · 10934245

    REMOTEFULLTIME

    Senior Backend Software Engineer (Cloud Monetization Platform)

    Nebius logo

    Nebius

    Remote · remote · Posted 71d ago

    Sourced fromGreenhouse
    Not disclosed5+ yrsfulltimeRemote

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    Section · 01

    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 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.

    Sourced from greenhouse

    Section · 02

    Skills

    gRPCKubernetesApache KafkaPythonMicroservices

    Section · Company

    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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