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Senior Software Engineer (Stream Processing)
ICT
💰 Salary Not shared
📊 Market 6,000 GBP–8,500 GBP/mo (72,000 GBP–102,000 GBP/yr)
About the Company
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.
About 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.
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 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.
Requirements
- ● 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.
- ● 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.
Benefits
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