Mistral Cloud - Site Reliability Engineer

About Mistral

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. about our culture on https://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: https://mistral.ai/products/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, 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 there 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.

Depending on their background, we may 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 HQ office (accommodation and travelling covered):

for the first week of their onboarding

then at least 3 days every 6 weeks

What We Offer

💰 Competitive salary and equity

🧑⚕️ Health insurance

🥎 Sport allowance

🥕 Meal vouchers

🍼 Parental : Generous parental leave policy

🌎 Visa sponsorship

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