About Mistral At Mistral AI, we harness the transformative power of Artificial Intelligence to streamline tasks, save valuable time, and elevate learning and creativity. Our innovative technology is crafted to seamlessly integrate into everyday workflows.We are committed to democratizing AI through our high-performance, optimized, open-source models, products, and solutions. Our extensive AI platform caters to enterprise requirements, whether hosted on-premises or in the cloud. Included in our offerings is le Chat, an AI assistant designed to enhance both life and work.Our dynamic and collaborative team is passionate about the potential of AI to revolutionize society. We pride ourselves on a diverse workforce that thrives in competitive environments and is dedicated to fostering innovation. With teams spread across France, the USA, the UK, Germany, and Singapore, we embody creativity, humility, and a strong team spirit.Join us in being part of a pioneering organization that is shaping the future of AI. Together, we can create a significant impact. Discover more about our culture at https://mistral.ai/careers.Role Overview We are on the lookout for exceptionally skilled Site Reliability Engineers (SRE) to enhance the reliability, scalability, and performance of our platform and customer-facing applications. You will collaborate closely with our software engineers and research teams to ensure our systems not only meet but exceed the expectations of our internal and external customers.Location: Remote - EuropeReporting Line: Team Lead, Site Reliability EngineerKey ResponsibilitiesAs a Site Reliability Engineer, you will adeptly balance daily operations on production systems with long-term software engineering enhancements to minimize operational toil while enhancing the reliability, availability, and performance of these systems.Operations (50%)• Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our web services and machine learning workloads.• Ensure our platform, inference, and model training environments are consistently highly available and facilitate seamless replication of work...
Apr 2, 2024