Backend Software Engineer, Mistral AI

• Degree in Computer Science, Software Engineering, or equivalent practical experience
• 5+ years of relevant work experience
• Proficiency in Golang or another backend language (Python, Rust…) — engineers are assessed in their preferred language during a live coding session
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures
• Experience with cloud-based (AWS, GCP, Azure) and bare-metal infrastructure
• Strong problem-solving abilities and attention to detail
• Ownership mindset capable of shipping end-to-end features with minimal oversight
• Excellent communication skills and collaborative attitude
• Team-oriented, low-ego mindset and curiosity for learning

Desirable

• We’re looking for passionate and talented software engineers to join our team
• As a Backend Engineer, you’ll play a key role in developing the core systems that drive our Cloud solutions
• Your work will involve building robust, high-performance backend systems and APIs to support our rapidly expanding enterprise user base
• Design, develop and maintain scalable, robust backend features and APIs using modern frameworks
• Ensure high performance and reliability across our distributed systems
• Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience
• Design and implement efficient, secure and scalable architectures that support our fast-growing products
• Collaborate with infrastructure teams on deployment, monitoring, and performance optimization
• Write clean, maintainable and well-documented code
• Participate in code reviews and contribute to technical standards and best practices
• Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features
• Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience
• Tackle complex engineering challenges, from distributed systems to AI product integration
• Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant

• Introduction Call - 45 min
• Technical Interview / Live Coding - 45 min
• Technical Interview / System Design - 45 min
• [OPTIONAL] Project Deep Dive - 60 min
• Culture-fit Discussion - 30 min
• References