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Jobs / Nebius

Staff / Senior Software Engineer (Agentic Search) - Runtime

Nebius·Zurichsenior

In short

  • →Ingeniero de software senior para sistemas de búsqueda optimizados para agentes de IA.
  • →Diseña y opera servicios de alto rendimiento con bajo latencia y alta throughput en entornos críticos.
  • →El producto es un motor de búsqueda programático hecho para que los agentes de IA accedan a datos reales en tiempo real.

Proficiency in English is required.

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In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

The questions they'll ask you

1. ¿Cómo optimizarías un flujo de consulta que supera el umbral de latencia en un sistema de búsqueda en producción?

2. ¿Qué métricas y datos observables usarías para detectar un problema de rendimiento en un servicio de bajo latencia?

3. Dime un ejemplo de cómo introduciste un cambio de rendimiento en un sistema que servía millones de peticiones por día.

🔒 +7 more questions

No card. Upload your resume and the full dossier is ready in ~1 minute.

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💵 USD · Remote · No visa

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What they ask for

  • ✓Experiencia sólida en sistemas distribuidos de alto rendimiento
  • ✓Conocimiento profundo de la pila de ejecución: CPU, memoria, E/S
  • ✓Experiencia construyendo APIs de baja latencia para servicios críticos
  • ✓Capacidad para diseñar y mantener observabilidad avanzada
  • ✓Experiencia con sistemas de alto volumen (miles de req/s)
  • ✓Ingeniería centrada en el rendimiento y predicción en producción

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

GogRPCProtobufKubernetesPrometheusOpenTelemetryBloom filtersIn-Memory cachingDistributed tracingLoad balancing

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 runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to • Design, implement, and operate core runtime services for serving search queries at scale • Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets • Develop systems that maintain performance and predictability under high load • Optimise CPU, memory, and data access patterns in performance-critical paths • Ensure reliability, observability, and predictability across production services • Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves • Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns • Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency <li class="whites

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