Senior Software Engineer (Agentic Search) - Index
Location: Amsterdam, Netherlands; London, United Kingdom
Department: Search
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
- Build ingestion workflows for internal and external data sources, including web-scale crawling and structured feeds
- 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:
- Have 5+ years of experience building production backend or data systems
- Have strong hands-on experience with Go in real-world, high-load services (experience with other systems languages such as C++ or Rust is a plus)
- Have worked on systems at significant scale — such as 10k+ RPS or 10+ GiB/sec throughput
- Have experience building or operating databases, data planes, or large-scale data pipelines
- Understand distributed systems fundamentals, including fault tolerance, failure modes, and horizontal scalability
- Have operated your own systems in production: handled incidents, made real-world tradeoffs, and understand what running data infrastructure at scale truly involves
- Think in terms of systems and data flows rather than isolated components, reasoning end-to-end about how data moves through the stack
- Can make pragmatic decisions under pressure without compromising long-term system health
- Collaborate effectively across infrastructure, ML, and product teams, communicating clearly in cross-functional settings
Strong candidates may also have experience with:
- Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam
- Content systems including web crawling, 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 active involvement in the engineering community
- Competitive programming or CTF participation (ICPC, IOI, or similar)
- SHAD or similar advanced technical programmes
- Conference talks or technical publications
We conduct coding interviews as part of the process.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius 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.
Applicants 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.
If you need accommodations during the application process, please let us know.
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