Staff / Senior Software Engineer (Agentic Search) - Index

ph3About Nebius: /h3 pNebius 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. /p pBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. /p pListed 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. /p h3The Product /h3 pIn 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. /p pWe 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. /p h3The Role /h3 pWe are looking for a Senior Software Engineer to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption. /p pIn 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. /p h3In this position, your responsibility will be to: /h3 ul liDesign, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure /li liDevelop and optimise indexing strategies balancing performance, freshness, and resource efficiency /li liWork on storage formats, compaction strategies, and update mechanisms to keep data accessible and current /li liEnsure reliability and predictability of pipelines under high-throughput conditions /li liBuild well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves /li liDefine and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines /li liMonitor throughput, resource usage, and cost, and drive optimisations when business needs require it /li liCollaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements /li liEnable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals /li /ul h3You may be a good fit if you: /h3 ul li5+ years of experience building production backend or data infrastructure systems /li liStrong Go experience (C++/Rust is a plus) /li liExperience with large-scale data processing systems (10+ GiB/sec throughput, petabyte-scale datasets, etc.) /li liExperience building or operating databases, storage systems, data planes, or indexing pipelines /li liStrong understanding of distributed systems, fault tolerance, consistency, and scalability /li liExperience running production systems and handling operational incidentsSystems-thinking mindset and ability to reason about end-to-end data flows /li /ul h3Strong candidates may also have experience with: /h3 ul liDistributed data processing frameworks such as Spark, Flink, MapReduce, or Beam /li liContent systems including, scraping, proxying, or anti-bot infrastructure /li liAd tech, social networks, or other large-scale content platforms /li liDBMS internals (open source or SaaS) and cloud infrastructure /li liOpen-source contributions or active involvement in the engineering community /li liCompetitive programming or CTF participation (ICPC, IOI, or similar) /li liSHAD or similar advanced technical programmes /li liConference talks or technical publications /li /ul pWe conduct coding interviews as part of the process. /p h3Benefits Perks: /h3 ul liCompetitive compensation /li liCareer growth and learning opportunities /li liFlexibility and ownership /li liCollaborative and innovative culture /li liOpportunity to work on impactful AI projects /li liInternational environment and talented teams /li /ul h3What's it like to work at Nebius: /h3 pFast moving- Bold thinking- Constant growth- Meaningful impact- Trust and real ownership- Opportunity to shape the future of AI /p h3Equal Opportunity Statement: /h3 pNebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. /p pApplicants 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 pIf you need accommodations during the application process, please let us know. /p /p #J-18808-Ljbffr