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Staff / Senior Software Engineer (Agentic Search) - Crawler

Nebius·Zurichsenior

In short

  • →Ingeniero de software sênior que construye infraestructura de rastreo a escala web para alimentar un buscador para agentes de IA.
  • →Día a día: diseñar sistemas distribuidos de rastreo, gestionar prioridades de crawlers, optimizar frescura y calidad de contenido, y colaborar con equipos de in
  • →Lo destacado: trabajas en un buscador agente-nativo de alto rendimiento, con billones de URLs y un enfoque programático, no humano.

Fluent English required for collaboration with global teams

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In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

The questions they'll ask you

1. ¿Cómo diseñarías un sistema de scheduling de crawlers que priorice contenido fresco sin saturar los servidores objetivo?

2. Describe una estrategia para evitar duplicados al rastrear millones de URLs con alta frecuencia.

3. ¿Cómo medirías la calidad de contenido en un flujo de ingestión a escala y qué métricas incluirías?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓Experiencia comprobada en sistemas de rastreo a escala web
  • ✓Conocimiento profundo de infraestructuras distribuidas y procesamiento de datos en alta frecuencia
  • ✓Capacidad para diseñar y operar sistemas de bajo latencia y alta disponibilidad
  • ✓Experiencia con sistemas de orquestación de trabajos y programación de tareas a gran escala
  • ✓Experiencia en gestión de recursos, costos y observabilidad en infraestructuras de datos
  • ✓Capacidad para colaborar con equipos de ML e indexing para alinear contenido con necesidades de IA.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonGoKafkagRPCRESTRedisPostgreSQLDockerKubernetesPrometheus

Who should you write to at Nebius?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

About Nebius: 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. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: • 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, prioritisation, 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 You may be a good fit if you: <ul class="[li_&]:mb-0 [li_&]:mt-1 [l

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