12 hours ago
Zürich, SwitzerlandSenior / Staff+
Responsibilities
- Design, implement, and operate large-scale indexing systems and data pipelines for search infrastructure.
- Develop indexing strategies that balance performance, freshness, and resource efficiency.
- Build storage formats, compaction strategies, and update mechanisms for current and accessible data.
- Ensure reliable and predictable pipeline operation under high-throughput conditions.
- Develop well-tested components with clear responsibilities and interaction contracts.
- Implement observability primitives including structured logs, metrics, and data-quality signals.
- Monitor throughput, resource usage, and cost while driving system optimizations.
- Collaborate with runtime and ML teams to meet retrieval and ranking requirements.
- Enable controlled experimentation with indexing strategies and data-processing logic.
Requirements
- 5+ years of experience building production backend or data-infrastructure systems.
- Strong experience with Go; C++ or Rust experience is a plus.
- Experience with large-scale data processing at approximately 10+ GiB/sec and petabyte-scale datasets.
- 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.
- Ability to reason about end-to-end data flows with a systems-thinking mindset.
- Experience with Spark, Flink, MapReduce, or Beam is advantageous.
- Experience with content systems, DBMS internals, cloud infrastructure, open-source contributions, competitive programming, CTF participation, advanced technical programs, conference talks, or technical publications is advantageous.
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility.
- Coding interviews are part of the hiring process.
Benefits
- Competitive compensation.
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative and innovative culture.
- Opportunity to work on impactful AI projects.
- International environment and talented teams.
Tech Stack
Categories
BackendData Engineering
About Nebius
Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.