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Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Stream Processing) (Go/Apache Flink): Building stateful event-processing pipelines and services that ingest, validate, enrich, price, and export product usage for near-real-time billing with an accent on correctness, failure recovery, and high-throughput processing. Focus on implementing exactly-once processing, reconciliation, transactional storage, persistent queues, change data capture, and reliable Go services.
Location: Amsterdam, Netherlands; Berlin, Germany; United Kingdom
Company
Nebius builds a full-stack AI cloud platform for data processing, model training, inference, and production deployment.
What you will do
- Build stateful streaming pipelines that calculate billed consumption in near real time.
- Develop and operate Go services for ingesting usage events, moving data between storage systems, and delivering usage APIs and billing exports.
- Ensure correctness during failures through idempotency, exactly-once processing, and reconciliation.
- Operate transactional storage, persistent queues, and change data capture at high throughput.
- Build reusable streaming infrastructure and improve billing-platform reliability, scalability, latency, and observability.
- Own systems end to end, from design and implementation through 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 predefined solutions.
- Ability and willingness to learn the technology stack, including Go, Python, Apache Flink, YDB, YTsaurus, messaging systems, and Kubernetes.
Nice to have
- Experience with Apache Flink or Kafka Streams.
- Experience designing streaming pipelines.
- Go development experience.
- Experience operating services in Kubernetes.
Culture & Benefits
- Competitive compensation and career growth opportunities.
- Learning opportunities with flexibility and ownership.
- Collaborative, innovative, and international working environment.
- Opportunity to contribute to impactful AI projects.
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility.
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