Senior Rust Backend Engineer for Scalable Data & Clusters

Tsuga; Paris; À distance; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Tsuga, Inc is seeking a highly skilled backend engineer to join the cluster team. You'll design, build, and operate distributed systems in Rust, focusing on the core observability and managed clusters for clients across Europe and the US.

You will collaborate with a seven-strong team reporting to the co-founder and CTO Sebastien, contributing to scalable ingestion and storage pipelines. The role emphasizes performance, data processing at scale, and Kubernetes management across AWS, Azure, and

Qualifications

• Strong previous experience working on DataFusion, query execution on columnar format databases.
• Strong previous experience in data processing at scale while maintaining performance.
• Experienced in Rust or C++ and Kubernetes.
• Experienced in using Vortex is a plus.

Responsabilités

• Design, build, and operate distributed backend systems in Rust.
• Develop and maintain scalable data ingestion pipelines capable of handling massive traffic spikes and real-time workloads.
• Build and optimize high-performance columnar storage systems on top of object storage technologies for petabytes scale volume of data
• Manage and orchestrate Kubernetes-based clusters deployed in customer cloud environments (AWS, Azure, and GCP).
• Develop tooling and automation to provision, monitor, scale, and maintain managed customer clusters in real time.

Connaissances

Rust

C++

Kubernetes

DataFusion

Columnar databases

Data processing at scale

Outils

Vortex

Description du poste

Tsuga, Inc is seeking a highly skilled backend engineer to join the cluster team. You'll design, build, and operate distributed systems in Rust, focusing on the core observability and managed clusters for clients across Europe and the US.

You will collaborate with a seven-strong team reporting to the co-founder and CTO Sebastien, contributing to scalable ingestion and storage pipelines. The role emphasizes performance, data processing at scale, and Kubernetes management across AWS, Azure, and