{"id":2725597,"url":"https://alion.io/job/nebius-staff-software-engineer-agentic-search-crawler","title":"Staff Software Engineer (Agentic Search) - Crawler","company":{"id":6364,"name":"Nebius","domain":"nebius.com","url":"https://alion.io/company/nebius","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":114,"ghost_share":0,"stale_share":0.623,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":189000,"max_usd":403000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2198},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"C++","optional":false},{"name":"DNS","optional":false},{"name":"Flink","optional":false},{"name":"Go","optional":false},{"name":"NATS","optional":false},{"name":"RabbitMQ","optional":false}],"status":"live","first_seen_at":"2026-10-16T13:43:41Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T21:54:30Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Nebius:\nNebius 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.\nBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\nListed 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.\nThe Product\nIn 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.\nWe 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.\nThe Role\nWe 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.\nIn 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.\nIn this position, your responsibility will be to:\nDesign, implement, and operate web-scale crawling systems for acquiring content from the internet\nBuild ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations\nDevelop crawl scheduling, prioritisation, recrawl policies, and freshness strategies\nBuild systems for URL discovery, deduplication, content extraction, and crawl orchestration\nEnsure reliable operation of crawling infrastructure under high-throughput conditions\nDefine observability and quality metrics for crawl coverage, freshness, throughput, and content quality\nMonitor resource usage, bandwidth consumption, and infrastructure cost\nCollaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements\nEnable safe experimentation with crawling strategies and content acquisition policies\nYou may be a good fit if you:\n8+ years of experience building backend or distributed systems\nStrong Go or C++ expertise \nExperience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines)\nUnderstanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction\nExperience operating production systems and debugging failures in distributed environments\nStrong understanding of scalability, fault tolerance, and resource management\nStrong candidates may also have experience with:\nWeb crawling\nBuilding streaming data pipelines and event-driven systems\nKafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms\nDesigning distributed schedulers, queues, and asynchronous processing systems\nSpark, Flink, Beam, or MapReduce\nAd tech, social networks, search engines, or other large-scale content platforms\nWe conduct coding interviews as part of the process.\nBenefits & Perks:\nCompetitive compensation\nCareer growth and learning opportunities\nFlexibility and ownership\nCollaborative and innovative culture\nOpportunity to work on impactful AI projects\nInternational environment and talented teams\nWhat's it like to work at Nebius:\nFast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI \nEqual Opportunity Statement:\nNebius is an equal opportunity employer. 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