Site Reliability Engineer, Mistral Cloud

Highlights

• Shape reliability, scalability and performance of Mistral's Cloud platform.
• Ensure robust AI platform operates at scale with minimal downtime.
• Build cloud abstractions that simplify infrastructure for science teams.

What they offer

• Healthcare coverage
• Parental leave
• Retirement plans
• Relocation support
• Wellness programs
• Meal and transportation allowances

Ideal candidate

Collaborative, low-ego engineer passionate about AI reliability who thrives in fast-paced environments and cares about scalable, secure platforms for high-stakes industries.

Requirements

• Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in a DevOps or SRE role, ideally with 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 software development best practices.
• Solid grasp of networking, security, and system administration concepts.
• Excellent problem-solving and communication skills, with ability to work effectively in a collaborative environment.
• Experience in an AI/ML environment, HPC systems, or modern AI-oriented solutions is a plus.