Nebius

Backend software engineer in cloud monetization

In short

Senior Backend Software Engineer role on Nebius's Cloud Monetization Platform team, building distributed backend systems for a full-stack AI cloud platform. The role focuses on designing abstractions for a billing/business model, building reliable distributed workflows, and shaping the platform from the ground up. Requires 5+ years of backend engineering experience, strong Python skills, and experience with distributed systems, microservices, and consistency models. Based in Amsterdam or fully remote.

About the Role
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. We are looking for a Senior Backend Software Engineer to join our Cloud Monetization Platform team in Amsterdam or remotely.
Responsibilities
•Design clean abstractions for a rapidly evolving business model
•Build reliable distributed workflows where correctness and consistency are as important as performance
•Help shape a modern platform from the ground up
Requirements
•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
Nice to have: experience building Billing, payments or pricing systems
Conditions
•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
•Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

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