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Jobs / Nebius

Senior Software Engineer (Stream Processing)

Nebius · Berlinsenior

In short

  • ▸Construyes pipelines de procesamiento de eventos en tiempo real que calculan el consumo facturable.
  • ▸Trabajas con Go, Flink y sistemas distribuidos para garantizar corrección y fiabilidad bajo fallos.
  • ▸El trabajo tiene impacto directo en los ingresos: un error de procesamiento significa pérdida financiera real.
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What they ask for

  • ✓Experiencia profesional en sistemas backend, streaming o de datos intensivos.
  • ✓Capacidad para razonar sobre consistencia y corrección de datos bajo fallos.
  • ✓Conocimiento de bases de datos, sistemas de mensajería o plataformas de procesamiento de eventos.
  • ✓Habilidades para investigar sistemas desconocidos y resolver problemas sin soluciones obvias.
  • ✓Capacidad y disposición para aprender la pila tecnológica del equipo.
  • ✓Experiencia con Go o frameworks de procesamiento de flujos estatales como Flink o Kafka Streams (deseable).

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

GoPythonApache FlinkYDBYTsaurusMessaging and event-streaming Kubernetes

Who should you write to at Nebius?

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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. • 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 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: N

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