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Senior DevOps Engineer (Machine Learning Area)

CDI
Barcelona
Salaire : Non spécifié
Télétravail non autorisé
Éducation : Bac +4

Adevinta
Adevinta

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Le poste

Descriptif du poste

​​​​​What you’ll do

  • Work with other teams to understand their current processes and missing opportunities around data engineering and machine learning development and find solutions to cover those needs.

  • Help onboard teams to our platform and services, track their progress and learn from their feedback.

  • Build highly scalable solutions for big data and machine learning on top of a wide spectrum of technologies (like:

    • Cloud (AWS; GCP or Azure), Kubernentes, Docker,Airflow, Hadoop, Programming languages (Python, Go or Rust), GitHub, TensorFlow, CI/CD tools (Jenkins etc.) and many more!

  • Monitor and automate  the operations and production of large-scale distributed systems alongside interdisciplinar

 

Additional Information

What you’ll get from us:

  • Flexible benefits programme (transport, restaurants, child-care, etc)

  • 26 days of holidays

  • Competitive compensation package

  • A unique position in an international and dynamic environment

  • Opportunity to shape the way we work. Your feedback and opinions are valued at all levels of the organisation

  • The chance to be a key player in a growing, highly skilled team

  • Great colleagues and a healthy working environment

  • Benefits including private health insurance, stock purchase plan and bonus

  • Flexibility to work when and how you want - flexible hours, choose your phone and computer

  • Career development, including individual training budget and language classes

 

 


Profil recherché

Who you are

  • You have a BSc (or equivalent) degree in Computer Science

  • Experience with cloud providers (AWS, GCP, Azure)

  • Strong analytical / problem solving skills

  • Strong UNIX background

  • The ability to write scripts to diagnose problems (Python or similar)

  • Proven ability and experience developing computer programs (Golang, Java, Python, Ruby or similar)

  • Experience in building systems that scale

  • Experience with modern engineering tools for CI/CD

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