Mistral Cloud - Site Reliability Engineer

> 5 années d'expérience

CDI

Site Reliability Engineer (SRE)

Make

Bash

Datadog

✨ About Mistral AI ✨

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source, and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

We are a dynamic, collaborative team passionate about AI and its potential to transform society.

Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, and Singapore. We are creative, low-ego, and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on Mistral AI Careers.

🚀 Role Summary 🚀

We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You will work closely with our software engineers and product teams to ensure our systems meet and exceed our internal and external customers' expectations.

More information on Mistral Cloud here: Mistral AI Compute

🛠️ What You Will Do 🛠️

Operations

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.

Development

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.

🌟 About You 🌟

Master’s degree in Computer Science, Engineering, or a related field.
5+ years of experience in a DevOps/SRE role.
Strong experience with bare metal infrastructure and highly available distributed systems.
Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...).
Experience working against reliability KPIs (observability, alerting, SLAs).
Hands-on experience with CI/CD, containerization, and orchestration tools (Docker, Kubernetes...).
Knowledge of monitoring, logging, alerting, and observability tools (Prometheus, Grafana, ELK Stack, Datadog...).
Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices.
Strong understanding of networking, security, and system administration concepts.
Excellent problem-solving and communication skills.
Self-motivated and able to work well in a fast-paced startup environment.

Your application will be all the more interesting if you also have:

Experience in an AI/ML environment.
Experience of high-performance computing (HPC) systems and workload managers (Slurm).
Worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...).

📅 Hiring Process 📅

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
References

🤝 Our Culture 🤝

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, 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: