Senior Software Engineer (Stream Processing)

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.

It will be an added bonus if you have:

• 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.

Technology stack

• Go, Python

• Apache Flink

• YDB

• YTsaurus

• Messaging and event-streaming systems

• Kubernetes

• 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