Site Reliability Engineer

Mistral AI is hiring a Site Reliability Engineer in Paris, France. Level rates it ; you can apply on Mistral AI.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Kubernetes, Terraform and Flux among its tools and skills.
Level classes it as a mid-level role.
Mistral AI has 234 other open roles on Level.

AI in this role

Design and maintain scalable infrastructure to support ML model training and inference workloads across high-performance computing clusters.

KubernetesTerraformFlux

sreinfrastructurehpcmlops

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role

As a Site Reliability Engineer (SRE) on the Platform team, you will shape the reliability, scalability, and performance of our platform and customer-facing applications. You’ll work closely with software engineers and research teams to ensure our systems meet and exceed the expectations of both internal and external customers.

This role balances day-to-day operations on production systems with long-term software engineering improvements. Your work will reduce operational toil, foster reliability, and ensure high availability for our web services, inference environments, and ML workloads. You’ll enable seamless replication of work environments across multiple HPC clusters, directly impacting the stability and efficiency of our AI platform.

What You Will Do

Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support web services and ML workloads.
Ensure our platform, inference, and model training environments are always highly available and enable seamless replication across HPC clusters.
Operate systems and troubleshoot issues in production, including interrupts, on-call responses, and infrastructure scaling.
Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance.
Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging.
Participate in on-call rotations to respond to incidents and perform root cause analysis.
Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, and Terraform.
Collaborate with AI/ML researchers to enable safe and reproducible model-training experiments.
Build a cloud-agnostic platform that abstracts infrastructure complexities for science and engineering teams.
Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance.
Work with the security team to ensure infrastructure adheres to best practices and compliance requirements.
Document processes and procedures to ensure consistency and knowledge sharing across the team.

What We're Looking For

A Master’s degree in Computer Science, Engineering, or a related field.
7+ years of experience in a DevOps or SRE role, with strong expertise in cloud computing and distributed systems.
Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations.
Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs.
Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes.
Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog.
Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices.
Solid grasp of networking, security, and system administration concepts.
Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment.
Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus.

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

How we rate this

Site Reliability Engineer at Mistral AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Site Reliability Engineer is an open job at Mistral AI.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Paris.
The job was posted on July 10, 2026.
Seniority: mid.
Applications are handled by Mistral AI. Apply on Mistral AI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

SreInfrastructureHpcMLOpsKubernetesTerraformFlux

Questions you could be asked

Tell me about a project where sre was part of your work. What did you do?
Tell me about a project where infrastructure was part of your work. What did you do?
Tell me about a project where hpc was part of your work. What did you do?
Tell me about a project where mlops was part of your work. What did you do?
Walk me through how you've used Kubernetes in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Sre, Infrastructure, Hpc, MLOps, and Kubernetes. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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