Staff / Senior Software Engineer (Agentic Search) - Index
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: Zurich, Switzerland. Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility.
Company
Nebius builds a full-stack AI cloud platform for data processing, model training, inference, and production deployment.
What you will do
- Design, implement, and operate large-scale indexing systems and data pipelines for an agent-native search platform.
- Build offline and nearline pipelines that ingest, process, and organize massive datasets into efficient, queryable structures.
- Optimize indexing strategies, storage formats, compaction, and update mechanisms for performance, freshness, and resource efficiency.
- Ensure reliability and predictable operation under high-throughput conditions, including tens of gigabytes per second across evolving datasets.
- Implement observability through structured logs, metrics, data-quality signals, and monitoring of throughput, resources, and cost.
- Collaborate with runtime and ML teams to align indexing outputs with retrieval and ranking requirements and enable safe experimentation.
Requirements
- 5+ years of experience building production backend or data infrastructure systems.
- Strong experience with Go.
- Experience with large-scale data processing, including 10+ GiB/s throughput or petabyte-scale datasets.
- Experience building or operating databases, storage systems, data planes, or indexing pipelines.
- Strong understanding of distributed systems, fault tolerance, consistency, scalability, and production incident management.
- Systems-thinking mindset with the ability to reason about end-to-end data flows.
Nice to have
- Experience with C++, Rust, Spark, Flink, MapReduce, or Beam.
- Experience with content systems, scraping, proxying, anti-bot infrastructure, ad tech, social networks, or large-scale content platforms.
- Knowledge of DBMS internals and cloud infrastructure.
- Open-source contributions, competitive programming, CTF participation, advanced technical programs, conference talks, or technical publications.
Culture & Benefits
- Competitive compensation.
- Career growth and learning opportunities.
- Flexibility, ownership, and an international working environment.
- Collaborative culture and the opportunity to work on impactful AI projects.
Hiring process
- Coding interviews are part of the hiring process.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β