Senior Software Engineer (Stream Processing)

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 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. In this role, you will: 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. We expect you to have: 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.