Senior Generalist Engineer - Production Systems & ML

Moniepoint Inc.; Málaga; Presencial; EUR 65.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Culture-focused environment

Learning and development

Competitive compensation with pension/

Descripción de la vacante

Moniepoint Inc. is seeking a senior Generalist Engineer for its Research & Development Team who can own problems end to end and deliver complete production systems, not just components.

The role spans software, distributed systems, infrastructure, data pipelines, and ML, requiring first-principles thinking, deep debugging, and the ability to move from vague statements to robust designs and reliable deployment.

Formación

• Strong CS fundamentals and system design experience.
• Experience building production systems at scale.
• Ability to work across languages and ML integration.
• Comfort with Linux, containers, Kubernetes.
• Solid probability and statistics knowledge.

Responsabilidades

• Design and build production-grade systems that are reliable, scalable, and observable.
• Work across application services, distributed systems, infrastructure, data pipelines, and ML systems
• Debug complex production issues across multiple layers
• Make engineering trade-offs grounded in first principles
• Improve performance, latency, reliability, and cost efficiency
• Contribute to architecture and technical direction
• Write maintainable code and documentation
• Raise the engineering bar
• Machine Learning as Part of the Role: Frame problems correctly, train, evaluate, and iterate on models, deploy and monitor.

Conocimientos

CS fundamentals

Probability & statistics

Production systems

Multi-language

Linux/Containers/Kubernetes

System design

Herramientas

Go

Java

Python

Rust

SQL

Descripción del empleo

Moniepoint Inc. is seeking a senior Generalist Engineer for its Research & Development Team who can own problems end to end and deliver complete production systems, not just components.

The role spans software, distributed systems, infrastructure, data pipelines, and ML, requiring first-principles thinking, deep debugging, and the ability to move from vague statements to robust designs and reliable deployment.