Site Reliability Engineer

OverviewJoin to apply for the Site Reliability Engineer role at Mistral AI1 week ago Be among the first 25 applicantsJoin to apply for the Site Reliability Engineer role at Mistral AIGet AI-powered advice on this job and more exclusive features. About MistralAt Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.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. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. See more about our culture on https://mistral.ai/careers. Role SummaryWe 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. Location: Paris or LondonReporting line: Head of Engineering What you will doAs 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. Responsibilities 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 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 About You 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...) Location & Remote This role is primarily based at our HQ in Paris, France. We will prioritize candidates who either reside in Paris or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. Our remote work policy is designed to offer flexibility, enhance work-life balance, and boost productivity. The number of remote workdays is determined by each manager, taking into account individual autonomy and specific circumstances—such as increased flexibility during the summer months. Regardless of the arrangement, we expect all employees to maintain open lines of communication with their teams and be available during core working hours. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting (currently France, UK, Germany, Netherlands, Spain and Italy). In that case, we ask all new hires to visit our Paris office: for the first month of their onboarding (accommodation and travelling covered) then at least 3 days per month What we offer Competitive salary and equity Health insurance Transportation allowance Sport allowance Meal vouchers Private pension plan Parental : Generous parental leave policy Visa sponsorship Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Mistral AI by 2x Sign in to set job alerts for “Site Reliability Engineer” roles. #J-18808-Ljbffr