Staff / Senior Software Engineer (Agentic Search) - Index

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

You may be a good fit if you:

5+ years of experience building production backend or data infrastructure systems

Strong Go experience (C++/Rust is a plus)

Experience with large-scale data processing systems (10+ GiB/sec throughput, petabyte-scale datasets, etc.)

Experience building or operating databases, storage systems, data planes, or indexing pipelines

Strong understanding of distributed systems, fault tolerance, consistency, and scalability

Experience running production systems and handling operational incidents

Systems-thinking mindset and ability to reason about end-to-end data flows

Strong candidates may also have experience with:

Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam

Content systems including, scraping, proxying, or anti-bot infrastructure

Ad tech, social networks, or other large-scale content platforms

DBMS internals (open source or SaaS) and cloud infrastructure

Open-source contributions or acti …