Site Reliability Engineer, Mistral Cloud
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Paris
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Job Description & Specifications
Official role breakdown, eligibility standards, and core responsibilities
Site Reliability Engineer, Mistral Cloud at Mistral.ai
📍 Paris
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.
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