# Senior Software Engineer (Stream Processing)

**Company**: Nebius
**Location**: Amsterdam
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/nebius/jobs/4967971101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_477b9244-0b0

## Description

We are looking for a Senior Software Engineer to build 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.

Responsibilities:

- Build stateful streaming pipelines that compute billed consumption in near real time.

- Develop and operate Go services that ingest usage events, move data between 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.

Requirements:

- Strong software engineering fundamentals.

- Professional experience building and operating backend, streaming, or data-intensive systems.

- Ability to reason about consistency and data correctness under failures.

- Experience with databases, messaging systems, or event-processing platforms.

- Ability to investigate unfamiliar systems and solve problems without an obvious predefined solution.

- Ability and willingness to learn the team's technology stack.

Nice to 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

## Skills

### Required
- software engineering
- streaming systems
- data correctness
- databases
- messaging systems
- event-processing platforms

### Nice to have
- Apache Flink
- Kafka Streams
- Go development
- Kubernetes

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/nebius/jobs/4967971101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)