Staff / Senior Software Engineer (Agentic Search) - Index

Nebius·Zurichsenior

In short

→Construyes sistemas de indexado a gran escala para búsquedas dirigidas a agentes de IA.
→Trabajas en pipelines offline y nearline que procesan decenas de GB/s de datos en tiempo real.
→El hecho destacado: tu trabajo permite que los agentes de IA accedan a información actualizada y verificada.

Proficiency in English required (written and spoken)

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The questions they'll ask you

1. ¿Cómo diseñarías un pipeline nearline para mantener un índice fresco con baja latencia bajo un volumen de 50 GB/s?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

✓Experiencia demostrable en sistemas de datos a gran escala
✓Conocimiento profundo de pipelines de procesamiento de datos (offline/nearline)
✓Habilidades sólidas en diseño de arquitectura para alta throughput y escala
✓Experiencia con sistemas de almacenamiento y compresión de datos
✓Capacidad para escribir código bien probado y observabilidad integrada
✓Colaboración efectiva con equipos de ML y runtime

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

PythonGoApache BeamApache KafkaGoogle Cloud Platform (GCP)BigQueryPub/SubDataflowAirflowPrometheus

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 indexing and data processing layer of a novel search engine tailored for agentic AI consumption. In 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. In this position, your responsibility will be to: • Design, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure • Develop and optimise indexing strategies balancing performance, freshness, and resource efficiency • Work on storage formats, compaction strategies, and update mechanisms to keep data accessible and current • Ensure reliability and predictability of pipelines under high-throughput conditions • Build well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves • Define and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines • Monitor throughput, resource usage, and cost, and drive optimisations when business needs require it • Collaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements • Enable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals <p class="font-claude-response-body break-word

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