AI Infrastructure SRE: Fleet Health & Delivery

Mistral Ai; New York (NY); Remote; USD 130,000 - 180,000; Full time

Job summary

Mistral AI is seeking a Site Reliability Engineer to build and maintain the infrastructure behind our sovereign AI platform. You’ll ensure Linux environments, cloud systems, and AI workloads run reliably at scale, supporting customers and internal teams with issue diagnosis and resolution.

You’ll collaborate across research, product, and infrastructure teams, driving modernization with cloud-native technologies like Kubernetes and GPU orchestration while maintaining a strong focus on

Qualifications

• Strong Linux system administration experience at scale.
• Proficiency in Slurm and/or Kubernetes to manage workloads.
• Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus.

Responsibilities

• 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 our 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, as we evolve our sovereign AI platform.

Skills

Linux admin

Slurm/Kubernetes

Cloud/GPU workloads

Job description

Mistral AI is seeking a Site Reliability Engineer to build and maintain the infrastructure behind our sovereign AI platform. You’ll ensure Linux environments, cloud systems, and AI workloads run reliably at scale, supporting customers and internal teams with issue diagnosis and resolution.

You’ll collaborate across research, product, and infrastructure teams, driving modernization with cloud-native technologies like Kubernetes and GPU orchestration while maintaining a strong focus on