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DevOps / ML Cloud Engineer

CDI
Paris
Salaire : Non spécifié
Début : 04 septembre 2021
Télétravail fréquent
Expérience : > 2 ans
Éducation : Bac +5 / Master

Mindee
Mindee

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Le poste

Descriptif du poste

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

Profil recherché

  • 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;

Déroulement des entretiens

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

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