3 hours ago
Berlin, Germany or Amsterdam, NetherlandsSenior
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 through usage APIs and billing data exports.
- Ensure correctness under failures through idempotency, exactly-once processing, and reconciliation.
- Operate transactional storage, persistent queues, and change data capture under high throughput.
- Build reusable streaming infrastructure and improve billing-platform reliability, scalability, latency, and observability.
- Own systems end to end, including 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 predefined solutions.
- Ability and willingness to learn the team's technology stack.
- Preferred experience with Apache Flink or Kafka Streams, streaming pipeline design, Go development, and operating services in Kubernetes.
Benefits
- Competitive compensation.
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative and innovative culture.
- Opportunity to work on impactful AI projects.
- International environment and talented teams.
Tech Stack
Categories
BackendData Engineering
About Nebius
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.