Site Reliability Engineer
Mistral AI9 hours ago
Responsibilities
- Design, build, and maintain scalable, highly available, fault-tolerant infrastructure for web services and ML workloads.
- Operate production systems, troubleshoot incidents, support user administration and data extraction, and scale infrastructure across HPC clusters.
- Implement monitoring, alerting, logging, incident response, and observability systems to minimize downtime.
- Develop infrastructure automation, deployment, and orchestration workflows using Kubernetes, Flux, and Terraform.
- Build a cloud-agnostic platform abstraction layer between research teams and infrastructure.
- Create automation scripts, APIs, web applications, dashboards, and other tooling to improve reliability, availability, and performance.
- Collaborate with AI/ML researchers on safe and reproducible model-training experiments and with security teams on infrastructure security and compliance.
- Participate in on-call rotations, perform root cause analysis, document procedures, and contribute to open-source and technical publications.
Requirements
- Master’s degree in Computer Science, Engineering, or a related field.
- At least 7 years of experience in a DevOps or Site Reliability Engineering role.
- Strong experience with cloud computing and highly available distributed systems.
- Experience with production troubleshooting, reliability issues, root cause analysis, and on-call rotations.
- Experience working with reliability KPIs, observability, alerting, and SLAs.
- Hands-on experience with CI/CD, Docker, Kubernetes, containerization, and orchestration tools.
- Knowledge of Prometheus, Grafana, ELK Stack, Datadog, or similar monitoring and observability tools.
- Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
- Proficiency in Python, Go, or Bash and knowledge of software development best practices.
- Strong understanding of networking, security, and system administration concepts.
- Preferred qualifications include experience in AI/ML environments, HPC systems and Slurm, and AI-oriented infrastructure solutions such as Fluidstack, CoreWeave, or Vast.
Benefits
- Benefits may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks; offerings vary by country.
Tech Stack
Categories
Site Reliability
About Mistral AI
Mistral AI builds foundation language models and full‑stack AI solutions for enterprises, offering APIs, on‑prem deployment, developer tools, and applications. The privately held company, founded in 2023 and headquartered in Paris, partners with organizations in finance, manufacturing, defense, healthcare, and the public sector to co‑create customized systems. It releases open‑source models alongside commercial offerings and makes its models available through major cloud marketplaces.