AI Cloud Platform SRE — Scale, Reliability & Uptime

Mistral

Paris

Sur place

EUR 90 000 - 130 000

Plein temps

14 jours+

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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.