Site Reliability Engineer, Mistral AI

• Master’s degree in Computer Science, Engineering or a related field
• 5+ years of experience in a DevOps/SRE role
• Strong experience with cloud computing 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

Desirable

• Mistral AI is looking for a Site Reliability Engineer (SRE) to shape reliability, scalability, and performance of our platform and customer facing applications
• You will work closely with our software engineers to ensure our systems meet and exceed our customers' expectations
• Make sure our inference and platform resources are always available and in good shape
• Ensure our products are reliable and ensure SLAs
• Design, build, and maintain scalable, highly available, and fault-tolerant standard and AI infrastructure to support our machine learning workloads and services
• Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime
• Develop and maintain comprehensive documentation for infrastructure designs, processes, and best practices
• Participate 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 using tools like Kubernetes, Flux, Terraform, …
• Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements
• Evaluate and implement new tools, technologies, and processes to enhance our AI infrastructure's efficiency, reliability, and scalability