Senior Software Engineer (Stream Processing)
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