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# Senior Software Engineer (Stream Processing)

- **Company:** Nebius Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Databases, Python (Programming Language), Enterprise Messaging Systems, Data Streaming, Change Data Capture, Backend, Kubernetes, Low Latency, Apache Flink, Apache Kafka, Stream Processing, Service Stack
- **Published:** September 5, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/phpy56nr3n

## About the Role

* 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, Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

## Description

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.


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