Staff Software Engineer (Agentic Search) - Crawler

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 Staff 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

8+ years of experience building backend or distributed systems

Strong Go or C++ expertise

Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines)

Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction

Experience operating production systems and debugging failures in distributed environments

Strong understanding of scalability, fault tolerance, and resource management

Building streaming data pipelines and event-driven systems

Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms

Designing distributed schedulers, queues, and asynchronous processing systems