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Senior Software Engineer - Indexing
Отличная вакансия в быстрорастущей технологической компании с листингом на Nasdaq. Работа над передовыми технологиями ИИ, сильная инженерная команда и конкурентный соцпакет делают это предложение крайне привлекательным.
Сложность вакансии
Высокая сложность обусловлена требованиями к опыту работы с высоконагруженными системами (10+ Гб/сек), глубоким знанием распределенных систем и обязательным этапом кодинг-интервью. Вакансия предполагает работу над уникальным продуктом на стыке поиска и ИИ.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Senior Software Engineer в Амстердаме рыночный диапазон составляет €90,000 – €130,000 в год. Nebius, как международная публичная компания, обычно предлагает конкурентные условия, соответствующие верхней границе рынка, включая опционы.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer - Indexing position at Nebius. With over 6 years of experience in building high-load backend systems and a deep understanding of distributed systems, I am excited about the opportunity to contribute to an agent-native search platform. My background in optimizing data pipelines and working with high-throughput environments aligns perfectly with your mission to ground AI agents in fresh, verified real-world data.
In my previous roles, I have successfully designed and operated systems handling massive data volumes, focusing on throughput and scalability. I am particularly drawn to Nebius's approach to building search APIs specifically for AI systems rather than human users. I am proficient in Go and C++, and I have extensive experience with distributed data processing frameworks, which I believe will be instrumental in developing your indexing and data processing layer.
I am eager to bring my technical expertise and pragmatic decision-making to your R&D hub. Thank you for considering my application. I look forward to the possibility of discussing how my skills can support Nebius's ambitious goals in the AI cloud infrastructure space.
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Описание вакансии
Why work at NebiusNebius 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 workHeadquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D 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 R&D 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 comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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Навыки
- Go
- C++
- Rust
- Distributed Systems
- Apache Spark
- Apache Flink
- MapReduce
- Apache Beam
- Database Management System
- Cloud Infrastructure
- Scalability
- Data Pipelines
Возможные вопросы на собеседовании
Вакансия требует опыта работы с пропускной способностью 10+ Гб/сек. Важно понять, как кандидат оптимизирует такие потоки.
Расскажите о самом высоконагруженном конвейере данных (data pipeline), который вы проектировали. С какими узкими местами вы столкнулись при масштабировании пропускной способности?
Для систем индексации критически важна консистентность и актуальность данных.
Как бы вы обеспечили баланс между свежестью данных (freshness) и стоимостью ресурсов при индексации веб-данных в реальном времени?
Работа предполагает использование Go, C++ или Rust в распределенной среде.
Опишите ваш опыт работы с распределенными хранилищами. Как вы обрабатываете частичные отказы узлов в системе индексации?
Упоминается работа с форматами хранения и стратегиями уплотнения.
Какие стратегии компакции (compaction) данных вы бы выбрали для системы с высокой интенсивностью записи и почему?
Nebius ценит инженерную культуру и наблюдаемость систем.
Какие метрики и сигналы качества данных вы считаете критическими для мониторинга здоровья крупномасштабной системы индексации?
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