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Mistral AI

Site Reliability Engineer

Mistral AI

Site Reliability Engineer at Mistral AI responsible for ensuring reliability and scalability of cloud platform. Collaborating with engineering teams and maintaining operational excellence.

Posted 6/10/2026full-timeParis • 🇫🇷 FranceMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
CloudDistributed SystemsDockerGoGrafanaKubernetesPrometheusPythonTerraform

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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...)

Benefits

Comp & perks
  • 💰 Competitive salary and equity
  • 🧑‍⚕️ Health insurance
  • 🥎 Sport allowance
  • 🥕 Meal vouchers
  • 🍼 Parental : Generous parental leave policy
  • 🌎 Visa sponsorship

ATS Keywords

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Hard Skills & Tools
DevOpsSREbare metal infrastructuredistributed systemsCI/CDcontainerizationorchestrationscripting languagesnetworkingsystem administration
Soft Skills
problem-solvingcommunicationself-motivatedcollaboration
Certifications
Master’s degree in Computer ScienceMaster’s degree in Engineering