SRE – Sovereign AI Fleet & Cloud Delivery

Mistral AI; Greater London; On-site; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Healthcare coverage

Relocation support

Retirement plans

Wellness programs

Meal and transportation allowances

Job summary

Mistral AI in London is seeking a Site Reliability Engineer to own and operate the infrastructure behind sovereign AI, including Linux environments, cloud systems, and AI workloads.

You will troubleshoot incidents to ensure high availability, performance, and security for models, products and compute platforms, and collaborate with research, product, and infrastructure teams to align systems with AI and customer needs.

Qualifications

• Strong Linux system administration experience at scale.
• Proficiency in Slurm and/or Kubernetes to manage workloads effectively.
• Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus.
• Customer-focused mindset: diagnose, explain, and resolve technical issues for users.
• Pragmatic, collaborative and hands-on; eager to drive modernisation in a fast-evolving AI infra landscape.

Responsibilities

• Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads.
• Troubleshoot 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 and guiding solutions.
• Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration.

Skills

Linux admin

Slurm

Kubernetes

Distributed storage

High perf networking

Cloud security

GPU workloads

Customer support

Job description

Mistral AI in London is seeking a Site Reliability Engineer to own and operate the infrastructure behind sovereign AI, including Linux environments, cloud systems, and AI workloads.

You will troubleshoot incidents to ensure high availability, performance, and security for models, products and compute platforms, and collaborate with research, product, and infrastructure teams to align systems with AI and customer needs.