Staff Backend Engineer — Distributed Systems & AI Infra

FastS3, Inc.; Madrid; Híbrido; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Inclusive work environment

Diversity and equity initiatives

Descripción de la vacante

A leading AI infrastructure company in Madrid seeks an experienced Staff Engineer specializing in backend engineering. The role involves architecting scalable systems for AI and ML workloads, leading feature development, and providing technical guidance. Ideal candidates have over 10 years of experience, strong skills in multiple programming languages, and a track record in scaling distributed systems. Join a fast-growing team focused on pushing the boundaries of applied AI.

Formación

• 10+ years of backend engineering experience with contributions to large-scale platform development.
• Proven track record in architecting and scaling distributed systems tailored for AI workloads.
• Exceptional communication, collaboration, and problem-solving skills.

Responsabilidades

• Design and build scalable backend infrastructure optimized for high-performance AI and ML workloads.
• Own end-to-end delivery of key product features, from concept through deployment.
• Mentor engineers, establish best practices, and continuously refine engineering processes.

Conocimientos

Backend engineering

C

C++

Python

REST APIs

CI/CD pipelines

SQL databases

NoSQL databases

Microservices

DevOps practices

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Docker

Kubernetes

Descripción del empleo

A leading AI infrastructure company in Madrid seeks an experienced Staff Engineer specializing in backend engineering. The role involves architecting scalable systems for AI and ML workloads, leading feature development, and providing technical guidance. Ideal candidates have over 10 years of experience, strong skills in multiple programming languages, and a track record in scaling distributed systems. Join a fast-growing team focused on pushing the boundaries of applied AI.