Nebius

Nebius

Nebius enables B2B companies to build local hyperscaling cloud platforms with cost-effective GPUs, InfiniBand network, and 50% less compute cost. They offer managed Kubernetes and a launch-ready business model for innovative cloud solutions.

Internet Software & Services
51-250

Description

  • Design, implement, and operate web-scale crawling systems for acquiring content from the internet.
  • Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations.
  • Develop crawl scheduling, prioritization, recrawl policies, and freshness strategies.
  • Build systems for URL discovery, deduplication, content extraction, and crawl orchestration.
  • Ensure reliable operation of crawling infrastructure under high-throughput conditions.
  • Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality.
  • Monitor resource usage, bandwidth consumption, and infrastructure cost.
  • Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements.
  • Enable safe experimentation with crawling strategies and content acquisition policies.

Requirements

  • 5+ years of experience building backend or distributed systems.
  • Strong Go or C++ expertise.
  • Experience with large-scale distributed systems, including 10k+ RPS, billions of URLs, or high-throughput pipelines.
  • Understanding of web protocols such as HTTP, DNS, and TLS, plus 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 is preferred.
  • Experience building streaming data pipelines and event-driven systems is preferred.
  • Experience with Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms is preferred.
  • Experience designing distributed schedulers, queues, and asynchronous processing systems is preferred.
  • Experience with Spark, Flink, Beam, or MapReduce is preferred.
  • Experience in ad tech, social networks, search engines, or other large-scale content platforms is preferred.
  • Coding interviews are part of the hiring process.
  • Applicants must be authorized to work in the country where they apply and provide proof of employment eligibility.

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.
  • Equal opportunity employer with an inclusive and diverse workplace.
  • Accommodations are available during the application process if needed.

Interested in this position?

Apply directly on the company website

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