Senior Software Engineer (Stream Processing)

Description

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.

Responsibilities

• 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

• 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