
Mistral Cloud - Software Engineer, Backend
Mistral
Mistral Cloud - Software Engineer, Backend
Mistral AI is seeking a Backend Software Engineer to develop core systems for their Cloud solutions. The role involves building robust, high-performance backend systems and APIs, requiring 5+ years of relevant experience and proficiency in Golang or another backend language. The position is primarily based in European offices with remote options available in specific countries.
Mistral Cloud - Software Engineer, Backend
Mistral AI is seeking a Backend Software Engineer to develop core systems for their Cloud solutions. The role involves building robust, high-performance backend systems and APIs, requiring 5+ years of relevant experience and proficiency in Golang or another backend language. The position is primarily based in European offices with remote options available in specific countries.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Tools (Nice-to-have)
Key Responsibilities
- 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 and bring them into production when relevant