11 hours ago
London, United KingdomStaff+
Responsibilities
- Design, implement, and operate web-scale crawling systems for internet content acquisition.
- Build ingestion workflows for crawlers, structured feeds, external data sources, and partner integrations.
- Develop URL discovery, deduplication, crawl scheduling, prioritization, recrawl, and freshness systems.
- Build reliable high-throughput crawl orchestration and content extraction infrastructure processing billions of URLs.
- Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality.
- Monitor resource usage, bandwidth consumption, and infrastructure costs.
- Collaborate with indexing and ML teams to satisfy retrieval and ranking requirements.
- Enable safe experimentation with crawling strategies and content acquisition policies.
Requirements
- 8+ years of experience building backend or distributed systems.
- Strong expertise in Go or C++.
- Experience with large-scale distributed systems handling 10k+ RPS, billions of URLs, or high-throughput pipelines.
- Understanding of HTTP, DNS, TLS, web crawling, scraping, and content extraction.
- Experience operating production systems and debugging failures in distributed environments.
- Strong understanding of scalability, fault tolerance, and resource management.
- Experience with web crawling, streaming data pipelines, event-driven systems, distributed schedulers, queues, asynchronous processing, or large-scale content platforms is valued.
- Experience with Kafka, Pulsar, NATS, RabbitMQ, Spark, Flink, Beam, or MapReduce is a strong-candidate qualification.
- Willingness to participate in coding interviews.
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
Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.