Design, build, and maintain scalable, highly available and fault-tolerant infrastructures
Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.)
Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime
Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our customer-facing APIs and large training runs
Drive continuous improvement in infrastructure automation, deployment, and orchestration
Collaborate with software engineers to develop and implement solutions that enable safe and reproducible model-training experiments
Design and develop new workflows and tooling to improve the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.)
Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements
Document processes and procedures to ensure consistency and knowledge sharing across the team
Requirements
About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions.
Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.
Our offerings include le Chat, the AI assistant for life and work.
We are a dynamic, collaborative team passionate about AI and its potential to transform society.
Join us to be part of a pioneering company shaping the future of AI.
See more about our culture on https://mistral.ai/careers.
More information on Mistral Cloud here: https://mistral.ai/products/compute
Master’s degree in Computer Science, Engineering or a related field
experience with bare metal infrastructure and highly available distributed systems
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
Self-motivated and able to work well in a fast-paced startup environment Your application will be all the more interesting if you also have: experience in an AI/ML environment
experience of high-performance computing (HPC) systems and workload managers (Slurm)
worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...) Hiring Process
Experience
5+ years of experience in a DevOps/SRE role Strong
Additional details
Our technology is designed to integrate seamlessly into daily working life.
Our diverse workforce thrives in competitive environments and is committed to driving innovation.
Our teams are distributed between France, USA, UK, Germany and Singapore.
Role summary We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our Cloud platform and customer facing applications.
You will work closely with our software engineers and product teams to ensure our systems meet and exceed our internal and external customers' expectations.
Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences Development
Help build a cloud platform offering an abstraction layer between science, engineering and infrastructure
Contribute to open-source projects, research publications, blog articles and conferences About you
Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...)
Excellent problem-solving and communication skills