Mistral AI - Mistral Cloud - Site Reliability Engineer
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Requirements
• experience of high-performance computing (HPC) systems and workload managers (Slurm) • worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...) • Introduction Call - 30 min • Manager Interview - 30 min • Technical Interview / System Design - 45 min • Technical Interview / Deep Dive - 60 min • Culture-fit Discussion - 30 min • We're driven to build a strong company culture and are looking for individuals with solid alignment with the following: • Reason with rigor • Are you audacious enough? • Make our customers succeed • Ship early and accelerate • Leave your ego aside • Engineering blog • Our first Engineering blog post is live, you can check it out here ! • Location & Remote • This role is primarily based at one of our European offices (Paris, France and London, UK). We will prioritize candidates who either reside in Paris or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. • In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France, UK, Germany, Belgium, Netherlands, Spain and Italy. In that case, we ask all new hires to visit our Paris office: • for the first week of their onboarding (accommodation and travelling covered) • then at least 3 days per month
Responsibilities
• Design, build, and maintain scalable, highly available and fault-tolerant infrastructures • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.) • Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our customer-facing APIs and large training runs • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences • Drive continuous improvement in infrastructure automation, deployment, and orchestration • Collaborate with software engineers to develop and implement solutions that enable safe and reproducible model-training experiments • Help build a cloud platform offering an abstraction layer between science, engineering and infrastructure • Design and develop new workflows and tooling to improve the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.) • Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements • Document processes and procedures to ensure consistency and knowledge sharing across the team • Contribute to open-source projects, research publications, blog articles and conferences
Benefits
• 🧑⚕️ Health insurance • 🚴 Transportation allowance • 🥎 Sport allowance • 🥕 Meal vouchers • 💰 Private pension plan • 🍼 Parental : Generous parental leave policy • 🌎 Visa sponsorship • By applying, you agree to our Applicant Privacy Policy.
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