Staff Software Engineer — Agentic Search & Data Pipelines

Nebius Group; Zürich; Sur place; CHF 180 000 - 270 000; Plein temps

Avantages offerts par ce poste

Competitive pay

Career growth

Learning opportunities

Flexibility & ownership

Collaborative culture

Impactful AI projects

International teams

Résumé du poste

Nebius is seeking a Staff Software Engineer to join our indexing and data processing layer of a novel search engine tailored for agentic AI consumption. You will design and build large-scale data pipelines that ingest, process, and organize massive data volumes into efficient, queryable structures.

The role emphasizes offline and nearline pipelines, high throughput, and reliability. You will collaborate with runtime and ML teams to meet retrieval and ranking requirements, drive observability,

Qualifications

• 8+ years of experience building production backend or data infrastructure systems.
• Excellent Go experience and strong distributed systems understanding.
• Experience with large-scale data processing and indexing pipelines.

Responsabilités

• Design, implement, and operate large-scale indexing systems and data pipelines.
• Develop and optimise indexing strategies for performance, freshness, and efficiency.
• Work on storage formats, compaction strategies, and update mechanisms.

Connaissances

Go

Distributed systems

Backend development

Data pipelines

System design

Formation

Bachelor's degree in Computer Science or related field

Master's degree (preferred)

Outils

Docker

Kubernetes

SQL

NoSQL

Git

Description du poste

Nebius is seeking a Staff Software Engineer to join our indexing and data processing layer of a novel search engine tailored for agentic AI consumption. You will design and build large-scale data pipelines that ingest, process, and organize massive data volumes into efficient, queryable structures.

The role emphasizes offline and nearline pipelines, high throughput, and reliability. You will collaborate with runtime and ML teams to meet retrieval and ranking requirements, drive observability,