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 Senior Software Engineer to build the event-processing pipelines and services that turn Nebius product usage into revenue.
You will work on systems that process a continuous stream of usage events, where correctness and failure recovery matter as much as throughput. The output is money: a silently dropped or double-counted event is a real financial error.
Usage of every Nebius product arrives as a stream of events. Our pipelines and services ingest, validate, enrich and price it in near real time, and deliver the results to invoicing, reporting and customer-facing account management.
- Build stateful streaming pipelines that compute billed consumption in near real time.
- Develop and operate Go services that ingest usage events, move data between our storage systems and deliver consumption data to users through usage APIs and billing data exports.
- Guarantee correctness under failures: idempotency, exactly-once processing and reconciliation.
- Operate transactional storage, persistent queues and change data capture under high throughput.
- Build reusable streaming infrastructure rather than solving each use case independently.
- Improve the reliability, scalability, latency and observability of the billing platform.
- Take end-to-end ownership of your systems: design, implementation, reliability and deployment.
- Strong software engineering fundamentals.
- Professional experience building and operating backend, streaming or data-intensive systems.
- The ability to reason about consistency and data correctness under failures.
- Experience with databases, messaging systems or event-processing platforms.
- The ability to investigate unfamiliar systems and solve problems without an obvious predefined solution.
- The ability and willingness to learn the team's technology stack.
- Experience with a stateful stream-processing framework such as Apache Flink or Kafka Streams.
- Experience designing streaming pipelines.
- Go development experience.
- Experience operating services in Kubernetes.
- Go, Python
- Apache Flink
- YDB
- YTsaurus
- Messaging and event-streaming systems
- Kubernetes
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.
Skills Required
- Strong software engineering fundamentals
- Professional experience building and operating backend, streaming, or data-intensive systems
- Ability to reason about consistency and data correctness under failures
- Experience with databases, messaging systems, or event-processing platforms
- Ability to investigate unfamiliar systems and solve problems without an obvious predefined solution
- Ability and willingness to learn the team's technology stack
- Experience with a stateful stream-processing framework such as Apache Flink or Kafka Streams
- Experience designing streaming pipelines
- Go development experience
- Experience operating services in Kubernetes
What We Do
Cloud platform specifically designed to train AI models
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