You are at the center of Mindee’s platform infrastructure. You are not afraid to design dynamic cluster balancing strategies coping with various CPU-bound or GPU-bound tasks, ranging from heavy algorithmic scripts to self-trained deep learning binary models.

As a DevOps Engineer, you will be:

• Designing all parts of our (multi-)cloud infrastructure;
• Deploying and monitoring our applications via infrastructure-as-code tools within a CI/CD ready environment;
• Creating the ML tasks orchestration to automatize and optimize cloud resources usage;
• Improving infrastructure and application development
• Implementing innovative solution to meet our company’s technical needs

• You have a master degree from a top-tier university with computer science components;
• You are autonomous in solving problems and organizing your work
• You are comfortable with team-work;
• You have extensive experience with infrastructure and software development in a complex production environment;
• You are working or have worked with Docker, Terraform and Kubernetes or similar on a day-to-day basis.
• You have some knowledge of Python programming and Python web application paradigms;
• BONUS: you already have managed ML/Deep Learning pipelines in a production setting
• BONUS: you have some knowledge of Go / C++ / Rust;
• You are fluent in english;

A first interview with the CTO
A technical assessment consisting of : discussion around a technical aspect of the infrastructure, with members of the Tech Team
Meeting with the CEO and employees