Senior SRE: Scalable AI Platform & HPC

Mistral Ai; New York (NY); On-site; USD 150,000 - 180,000; Full time

Job summary

Mistral AI is seeking an experienced Site Reliability Engineer to shape the reliability, scalability, and performance of our platform and customer-facing applications. You will work closely with software engineers and research teams to meet internal and external expectations.

The role focuses on designing scalable infrastructure, implementing robust monitoring, and driving CI/CD and automation to support high-availability workloads across HPC clusters and various environments.

Qualifications

• Master’s degree in Computer Science, Engineering or related field is required.
• 7+ years of experience in DevOps/SRE or equivalent roles.
• Strong experience with cloud computing and highly available distributed systems.
• Experience handling reliability KPIs (observability, monitoring, SLAs).
• Hands-on with CI/CD, containerization and orchestration tools.

Responsibilities

• Design, build, and maintain scalable, highly available infrastructure for web services and ML workloads.
• Ensure production environments are resilient and on-call capable.
• Improve monitoring, alerting, and incident response systems to minimize downtime.
• Develop automation and workflows (CI/CD, containers, orchestration, dashboards).
• Collaborate with AI/ML teams to enable reproducible experiments and safe model training.
• Document processes for knowledge sharing and contribute to open-source projects.

Skills

CI/CD

Observability

Automation

Networking & security

SRE best practices

Scripting (Python/Go/Bash)

On-call experience

Problem solving

Startup environment

Communication

Education

Master’s degree in Computer Science or Engineering

Tools

Docker

Kubernetes

Terraform

CloudFormation

Prometheus

Grafana

ELK Stack

Datadog

Job description

Mistral AI is seeking an experienced Site Reliability Engineer to shape the reliability, scalability, and performance of our platform and customer-facing applications. You will work closely with software engineers and research teams to meet internal and external expectations.

The role focuses on designing scalable infrastructure, implementing robust monitoring, and driving CI/CD and automation to support high-availability workloads across HPC clusters and various environments.