Staff Software Engineer

h3About Nebius: /h3pNebius 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. /ppBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. /ppListed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with RD 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 RD. /ph3The Product /h3pIn 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. /ppWe 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. /ph3The Role /h3pWe are looking for a Staff Software Engineer (Agentic Search)
- Index to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption. /ppIn this role, you will focus on building systems that ingest, process, and organise massive volumes of data into efficient, queryable structures. You will work primarily on offline and nearline pipelines, ensuring that data is fresh, complete, and efficiently accessible by downstream retrieval systems. You will operate in an environment where throughput, scalability, and correctness are critical; designing systems capable of handling tens of gigabytes per second across continuously evolving datasets. /pulliAmsterdam, Netherlands /liliLondon, United Kingdom /li /ulh3In this position, your responsibility will be to: /h3ulliDesign, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure /liliDevelop and optimise indexing strategies balancing performance, freshness, and resource efficiency /liliWork on storage formats, compaction strategies, and update mechanisms to keep data accessible and current /liliEnsure reliability and predictability of pipelines under high-throughput conditions /liliBuild well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves /liliDefine and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines /liliMonitor throughput, resource usage, and cost, and drive optimisations when business needs require it /liliCollaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements /liliEnable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals /li /ulh3You may be a good fit if you: /h3ulli8+ years of experience building production backend or data infrastructure systems /liliStrong Go experience (C++/Rust is a plus) /liliExperience with large-scale data processing systems (10+ GiB/sec throughput, petabyte-scale datasets, etc.) /liliExperience building or operating databases, storage systems, data planes, or indexing pipelines /liliStrong understanding of distributed systems, fault tolerance, consistency, and scalability /liliExperience running production systems and handling operational incidents /liliSystems-thinking mindset and ability to reason about end-to-end data flows /li /ulh3Strong candidates may also have experience with: /h3ulliDistributed data processing frameworks such as Spark, Flink, MapReduce, or Beam /liliContent systems including, scraping, proxying, or anti-bot infrastructure /liliAd tech, social networks, or other large-scale content platforms /liliDBMS internals (open source or SaaS) and cloud infrastructure /liliOpen-source contributions or active involvement in the engineering community /liliCompetitive programming or CTF participation (ICPC, IOI, or similar) /liliSHAD or similar advanced technical programmes /liliConference talks or technical publications /li /ulh3Benefits Perks: /h3ulliCompetitive compensation /liliCareer growth and learning opportunities /liliFlexibility and ownership /liliCollaborative and innovative culture /liliOpportunity to work on impactful AI projects /liliInternational environment and talented teams /li /ulpApplicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. /p #J-18808-Ljbffr