Remote Distributed Storage Engineer – Scale Data Systems

BairesDev; Chile; Presencial; CLP 82.267.000 - 137.112.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work from anywhere

Competitive USD compensation

Home setup provided

Flexible hours

Paid parental leaves

Descripción de la vacante

BairesDev is seeking a Distributed Storage Engineer to design and maintain high-performance storage systems for enterprise-scale data. You will translate complex consistency requirements into robust, scalable software-defined storage solutions.

You will work with Ceph, MinIO, or S3-compatible systems, optimize replication, and ensure data durability while collaborating with global teams. This role is fully remote and offers strong USD compensation and flexible scheduling.

Formación

• 4+ years of experience in software, systems, or distributed engineering.
• Proficiency in C/C++, Go, or Rust for storage systems.
• Hands-on with Ceph, MinIO, or S3-compatible storage solutions.
• Understanding of data durability, consistency models, and replication strategies.

Responsabilidades

• Design and implement distributed storage architectures (object stores, block storage, file systems).
• Optimize storage performance and data integrity across large clusters.
• Manage and scale Ceph or MinIO clusters to meet growing data demands.
• Develop replication and sharding strategies for high availability and fault tolerance.
• Collaborate with infra teams to integrate storage with cloud-native and on-prem environments.
• Monitor and troubleshoot data consistency and latency issues.

Conocimientos

4+ years experience

C/C++

Go

Rust

Ceph / MinIO / S3-compatible

Data durability / replication

English proficiency

Descripción del empleo

BairesDev is seeking a Distributed Storage Engineer to design and maintain high-performance storage systems for enterprise-scale data. You will translate complex consistency requirements into robust, scalable software-defined storage solutions.

You will work with Ceph, MinIO, or S3-compatible systems, optimize replication, and ensure data durability while collaborating with global teams. This role is fully remote and offers strong USD compensation and flexible scheduling.