Staff Engineer (Core Backend & Distributed Systems) Madrid Engineering

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

We are looking for an experienced Member of Technical Staff with deep expertise in backend engineering

Role Summary

We are looking for an experienced Staff Engineer with deep expertise in backend engineering, distributed systems, and scalable infrastructure design. As a core technical leader, you will influence strategic decisions, partner closely with the founding team, and play a critical role in shaping our AI and ML infrastructure. This role combines hands‑on system architecture with leadership responsibilities, ensuring we deliver robust, high-performance platforms for data‑intensive workloads.

What You’ll Be Doing

• Architect and Develop: Design and build scalable backend infrastructure optimized for high-performance AI and ML workloads.
• Lead Feature Development: Own end-to-end delivery of key product features, from concept through deployment and ongoing support.
• Innovate APIs & Microservices: Define efficient RESTful APIs and microservice architectures tailored to customer-driven use cases.
• Scale Distributed Systems: Implement systems designed for high-throughput, low-latency, large-scale data processing.
• Enhance Scalability: Drive proactive evolution of system architecture to meet future scale and performance demands.
• Implement CI/CD Pipelines: Develop streamlined CI/CD workflows for rapid testing, deployment, and iteration.
• Provide Technical Leadership: Shape engineering strategy and roadmap decisions through close collaboration with technical leadership.
• Mentorship & Optimization: Mentor engineers, establish best practices, and continuously refine engineering processes.
• Partner Cross-Functionally: Collaborate with product, ML, and full‑stack engineering teams to align features with business goals.
• Enhance Reliability: Ensure uptime and resilience with advanced monitoring, logging, and alerting using Docker, Kubernetes, and modern cloud platforms.

What We Need to See

• 10+ years of backend engineering experience with contributions to large‑scale platform development.
• Deep expertise in C, C++, Python, REST APIs, and modern backend frameworks.
• Proven track record in architecting and scaling distributed systems tailored for AI workloads.
• Strong knowledge of SQL and NoSQL databases (PostgreSQL, Redis, MongoDB, RocksDB, etc.).
• Extensive experience in building RESTful APIs and microservices.
• Demonstrated success in implementing CI/CD pipelines and DevOps best practices.
• History of owning complex product features from inception through production support.
• Exceptional communication, collaboration, and problem‑solving skills.
• Bachelor’s or higher degree in Computer Science, Software Engineering, or equivalent experience.

Ways to Stand Out

• Hands‑on experience with distributed databases, data lake technologies, or AI agents.
• Proven ability to thrive in ambiguity, with comfort in rapid iteration and adaptive decision‑making.
• Strong enthusiasm for incorporating direct customer feedback into product development.
• Proactive mindset in anticipating challenges and delivering innovative solutions.

Why Join Us?

Our Smart-Lakehouse vision marks a paradigm shift from traditional software to AI‑native infrastructure—automating the path from raw data to intelligent action. Our platform empowers enterprises to operationalize advanced LLMs, generative models, and computer vision systems directly within their data pipelines. By enabling seamless, real‑time AI integration across diverse sources, we accelerate AI adoption across industries.

You’ll be joining a fast‑growing, inclusive team committed to pushing the frontier of applied AI. We are proud to be an equal opportunity employer, dedicated to diversity, equity, and accessibility for all.