Senior Software Engineer - Indexing

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with RD hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI RD team. 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 organize 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 that can handle tens of gigabytes per second and continuously evolving datasets. In this position, your responsibility will be to Design, implement, and operate large-scale indexing systems and data pipelines Build ingestion workflows for internal and external data sources (including web-scale crawling and structured feeds) Develop and optimize indexing strategies for performance, freshness, and efficiency Work on storage formats, compaction strategies, and update mechanisms Ensure reliability and predictability under high-throughput conditions Build well-tested components with clear contracts while allowing architectural flexibility Define observability primitives (logs, metrics, data quality signals) across pipelines Monitor throughput, resource usage, and cost, and optimize when needed Collaborate with runtime and ML teams to support retrieval and ranking requirements Enable safe experimentation on indexing strategies and data processing logic You may be a good fit if you: Have 5+ years of experience building production backend or data systems Are strong in Go, C++, or Rust Have experience with high-load systems (e.g. 10k+ RPS or 10+ GiB/sec throughput) Have worked on databases, data planes, or large-scale data pipelines Understand distributed systems fundamentals and failure modes Have operated systems in production and handled real-world tradeoffs Think in terms of systems and data flows rather than isolated components Can make pragmatic decisions without compromising long-term system health Collaborate effectively across infrastructure, ML, and product teams Strong candidates may also have experience with: Distributed data processing frameworks (Spark, Flink, MapReduce, Beam) Content systems (web crawling, scraping, proxying, anti-bot infrastructure) Ad tech, social networks, or large-scale content platforms DBMS (OSS or SaaS) and cloud infrastructure Open-source contributions Competitive programming or CTFs (ICPC, IOI, etc.) SHAD or similar advanced technical programs Conference talks or technical publications We conduct coding interviews as part of the process. What we offer Competitive salary and comp ... (truncated, view full listing at source)