Cloud Engineer

• Lead Cloud Provider Integrations: Drive the technical strategy and execution for integrating Mistral’s products (AI Studio, APIs, SDKs) natively into cloud provider ecosystems (Azure, AWS, GCP, etc.), starting with Azure.
• Build a Factory for Scalable Integrations: Develop a repeatable, automated framework to onboard new cloud providers quickly, reducing friction for both customers and internal teams.
• Collaborate with Hyperscalers: Partner with cloud providers’ engineering teams to define interfaces, standards, and best practices for AI model deployment and integration.
• Enable Smooth Customer Onboarding: Ensure customers can onboard Mistral’s AI Studio suite directly from cloud providers’ platforms, with a focus on simplicity, reliability, and performance.
• Cross-functional Leadership: Work with internal teams (Deployment Platform, Product Engineering, Solutions Architecture) and external stakeholders to align on roadmaps, timelines, and technical trade-offs.
• Automate and Optimize: Build tooling and processes to automate packaging, deployment, and monitoring of Mistral’s products across cloud environments, reducing cognitive load for Product Engineering teams.
• Technical Advocacy: Represent Mistral in technical discussions with cloud providers, influencing their roadmaps and ensuring our products are optimized for their platforms.
• Team Building: Grow and mentor a high-performing team of 5-6 engineers, fostering a culture of platform thinking, automation, and collaboration.

Engineering Team Lead – Cloud Deployments

Software Engineer, Cloud Deployments

AWS Cloud Architect

Associate Cloud Platform Engineer

Infrastructure and Cloud Engineer

Staff Network Engineer – Cloud Networking