Sovereign AI Infra Engineer — Kubernetes & Fleet Health

Lindus Health; Madrid; Presencial; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare coverage

Relocation support

Descripción de la vacante

Mistral is seeking an Operations Engineer to build and support the infrastructure behind sovereign AI. You will manage Linux environments, cloud systems, and AI workloads to keep platforms reliable at scale.

You will troubleshoot incidents, ensure high availability and security, and collaborate with research, product, and infra teams to align systems with AI needs and customer expectations. A hands-on, pragmatic approach is essential.

Formación

• Strong Linux system administration experience at scale.
• Customer-focused mindset with ability to diagnose, explain, and resolve technical issues for users.
• Pragmatic, collaborative, hands-on, able to drive modernization in a fast-evolving landscape.

Responsabilidades

• Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads.
• Troubleshoot and resolve incidents to ensure high availability, performance, and security for models, products, and compute platforms.
• Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs.
• Provide technical support to customers and internal teams, diagnosing issues, guiding solutions, and ensuring smooth operations.
• Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration.

Conocimientos

Linux systems

Customer focus

Hands-on

Herramientas

Slurm

Kubernetes

Descripción del empleo

Mistral is seeking an Operations Engineer to build and support the infrastructure behind sovereign AI. You will manage Linux environments, cloud systems, and AI workloads to keep platforms reliable at scale.

You will troubleshoot incidents, ensure high availability and security, and collaborate with research, product, and infra teams to align systems with AI needs and customer expectations. A hands-on, pragmatic approach is essential.