Site Reliability Engineer
Mistral AI · New York
Frontier labremotesenior
At a glance
Highlights
- Shape reliability and performance of platform and customer-facing AI applications.
- Keep inference and model training environments highly available across HPC clusters.
- Build cloud-agnostic platform bridging research and infrastructure for AI systems.
What they offer
- healthcare coverage
- parental leave
- retirement plans
- relocation support
- wellness programs
- meal and transportation allowances
Ideal candidate
A seasoned SRE who thrives in fast-paced, collaborative startups and cares deeply about automation, reliability, and enabling cutting-edge AI research.
Requirements
- Master's degree in Computer Science, Engineering or related field
- 7+ 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 including root cause analysis and on-call
- Experience working against reliability KPIs including observability, alerting and SLAs
- Hands-on experience with CI/CD, containerization and orchestration tools
- Knowledge of monitoring, logging, alerting and observability tools
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation
- Proficiency in scripting languages and 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 in fast-paced startup environment
Lab profile
About Mistral AI
Provides full-stack AI solutions from frontier models to tools, applications, and compute.
What they build
- Frontier AI models
- Developer tools
- AI applications
Known for
- Full-stack AI development
- Enterprise co-creation and deployment
- Customizable systems that run on customer terms
- Focus on finance, manufacturing, defense, healthcare and public sector
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