AI & Data Systems Lead Engineer — On-site Valencia

Bravo Capital; Madrid; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

BRAVO CAPITAL in Valencia is seeking a Lead Software Engineer, AI & Data to set technical direction and guide our Analytics team. You will lead software, data, AI and infra, build useful systems and own delivery from code to production.

You will work with Go, Rust, Python, SQL, React, TypeScript, Docker and Linux AI tools, collaborating with business teams to explain trade-offs and move fast while maintaining reliability.

Formación

• 3+ years of professional experience in software, data or applied AI, with GitHub projects you can explain in depth.
• A degree in data science, computer science or computer engineering.
• Strong analytical thinking, curiosity, attention to detail and the initiative to solve problems independently.
• Excellent communication: clear writing, careful listening and simple explanations for technical and non-technical colleagues.
• Practical knowledge of GitHub, CI/CD, AWS, S3, Hetzner and DevOps, including testing, security, monitoring, backups and recovery tools.

Responsabilidades

• Build agents and apps with frontier AI models, choosing the best balance of capability, speed and cost.
• Build reliable data pipelines and apply statistics and machine learning to real business problems.
• Own delivery from code to production, including GitHub CI/CD pipelines, cloud infrastructure and resilient systems.
• Work directly with business teams, explain trade-offs clearly and help others build better.

Conocimientos

Analytical thinking

Communication

Problem solving

GitHub projects

Educación

Degree in data science, computer science or computer engineering

Herramientas

GitHub

CI/CD

AWS

S3

Hetzner

DevOps

Descripción del empleo

BRAVO CAPITAL in Valencia is seeking a Lead Software Engineer, AI & Data to set technical direction and guide our Analytics team. You will lead software, data, AI and infra, build useful systems and own delivery from code to production.

You will work with Go, Rust, Python, SQL, React, TypeScript, Docker and Linux AI tools, collaborating with business teams to explain trade-offs and move fast while maintaining reliability.