Site Reliability Engineer, Mistral Cloud

Mistral; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Mistral is seeking a Site Reliability Engineer to shape the reliability, scalability, and performance of our Cloud Platform and customer-facing applications. You will work closely with software engineers and product teams to ensure systems meet and exceed expectations for internal and external users.

This role is critical for maintaining stability of our infrastructure, enabling seamless experiences for users and developers.

Qualifications

• Master's degree in Computer Science, Engineering, or a related field.
• 5+ years in a DevOps or SRE role, with strong experience in bare metal infra and distributed systems.
• Hands-on with in-production troubleshooting, root-cause analysis, and on-call rotations.
• Experience with reliability KPIs, observability, alerting, and SLAs.
• Proficiency with CI/CD, containerization, and orchestration tools like Docker and Kubernetes.
• Knowledge of monitoring/logging/alerting tools such as Prometheus, Grafana, ELK/Datadog.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Scripting skills (Python, Go, Bash) and solid software development fundamentals.
• Strong networking, security, and system administration concepts.
• Nice-to-have: AI/ML environment, HPC, or modern AI-oriented solutions.

Responsabilités

• Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform.
• Operate systems in production, handle on-call responses, and scale infrastructure.
• Implement and improve monitoring, alerting, and incident response to minimize downtime.
• Develop and maintain CI/CD workflows, containerization, orchestration, logging, and monitoring tooling.
• Participate in on-call rotations and perform RCAs to prevent recurrence.
• Drive infrastructure automation and platform deployment improvements.
• Collaborate with software engineers to enable safe, reproducible model-training experiments.
• Develop cloud platforms that abstract infrastructure complexities for science and engineering teams.
• Create workflows and tooling to improve reliability, availability, and performance.
• Ensure security and compliance in collaboration with the security team.
• Document processes to promote knowledge sharing.

Connaissances

DevOps

SRE

CI/CD

Docker

Kubernetes

Observability

Prometheus

Grafana

ELK

Terraform

Python

Networking

Formation

Master's degree in Computer Science or Engineering

Outils

Docker

Kubernetes

Terraform

CloudFormation

Datadog

ELK Stack

Datadog

Python

Description du poste

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 Cloud Platform team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers.

This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime.

What You Will Do

• Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform.
• Operate systems and troubleshoot issues in production environments, 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 to prevent recurrence.
• Drive continuous improvement in infrastructure automation, deployment, and orchestration.
• Collaborate with software engineers to enable safe and reproducible model-training experiments.
• Build and enhance a cloud 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.
• Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team.
• 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.
• 5+ years of experience in a DevOps or SRE role, with strong expertise in bare metal infrastructure 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

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