Senior Software Engineer (Stream Processing)

<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>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.</p> <p>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.</p> <p>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.</p></div><h3>The role</h3> <p>We are looking for a Senior Software Engineer to build the event-processing pipelines and services that turn Nebius product usage into revenue.<br>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.<br>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.</p> <h4>In this role, you will:</h4> <ul> <li>Build stateful streaming pipelines that compute billed consumption in near real time.</li> <li>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.</li> <li>Guarantee correctness under failures: idempotency, exactly-once processing and reconciliation.</li> <li>Operate transactional storage, persistent queues and change data capture under high throughput.</li> <li>Build reusable streaming infrastructure rather than solving each use case independently.</li> <li>Improve the reliability, scalability, latency and observability of the billing platform.</li> <li>Take end-to-end ownership of your systems: design, implementation, reliability and deployment.</li> </ul> <h4>We expect you to have:</h4> <ul> <li>Strong software engineering fundamentals.</li> <li>Professional experience building and operating backend, streaming or data-intensive systems.</li> <li>The ability to reason about consistency and data correctness under failures.</li> <li>Experience with databases, messaging systems or event-processing platforms.</li> <li>The ability to investigate unfamiliar systems and solve problems without an obvious predefined solution.</li> <li>The ability and willingness to learn the team's technology stack.</li> </ul> <h4>It will be an added bonus if you have:</h4> <ul> <li>Experience with a stateful stream-processing framework such as Apache Flink or Kafka Streams.</li> <li>Experience designing streaming pipelines.</li> <li>Go development experience.<