Job description

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations. What You Will Do As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems. Operations • Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads • Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters • 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 client-facing APIs and large training runs • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences Development • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure • Design and develop new workflows and tooling to improve to 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 • Contribute to open-source projects, research publications, blog articles and conferences What We're Looking For • Master’s degree in Computer Science, Engineering or a 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 (issue root cause analysis, in-production troubleshooting, on-call rotations...) • 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 • Excellent problem-solving and communication skills • 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...) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page app.notion.com. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy legal.mistral.ai.

Requirements

Must-haves

Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads
Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters
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 client-facing APIs and large training runs
Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences
Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform
Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments
Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure
Design and develop new workflows and tooling to improve to 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
Contribute to open-source projects, research publications, blog articles and conferences
Master’s degree in Computer Science, Engineering or a 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 (issue root cause analysis, in-production troubleshooting, on-call rotations...)
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
Excellent problem-solving and communication skills

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlci/cdkubernetesapidockerpythongo

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Parental Leave

Wellness