Python & Kubernetes Data Platform Engineer

Canonical

Metz

Sur place

EUR 60 000 - 80 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Personal learning and development budget of USD 2,000
Annual compensation review
Maternity and paternity leave
Employee Assistance Programme
Twice-yearly team sprints

Résumé du poste

Canonical, a leader in open source software, is hiring Python and Kubernetes Specialist Engineers in Metz, France. You will be part of a team building end-to-end data analytics solutions using open-source tools. Key responsibilities include collaborating with engineers globally and designing solutions for public and private clouds.

The ideal candidate has a strong background in Python, Kubernetes, and machine learning with exceptional interpersonal skills. Canonical offers a distributed work environment, career growth opportunities, and a commitment to diversity.

Qualifications

  • Professional software delivery experience using Python.
  • Exceptional academic track record from high school and university.
  • Confidence to share ideas and feedback.
  • Passion for technology through personal projects.
  • Professional English with excellent presentation skills.
  • Ability to travel twice a year for company events.

Responsabilités

  • Develop understanding of the entire Linux stack.
  • Design and maintain solutions on various infrastructures.
  • Collaborate with a distributed team of engineers.
  • Debug issues and interact with upstream communities.

Connaissances

Python
Kubernetes
Machine Learning
Data Analytics
Linux
Interpersonal Skills

Formation

Undergraduate degree in a technical subject

Outils

Docker
MLFlow
Kubeflow
Apache Superset

Description du poste

Canonical, a leader in open source software, is hiring Python and Kubernetes Specialist Engineers in Metz, France. You will be part of a team building end-to-end data analytics solutions using open-source tools. Key responsibilities include collaborating with engineers globally and designing solutions for public and private clouds.

The ideal candidate has a strong background in Python, Kubernetes, and machine learning with exceptional interpersonal skills. Canonical offers a distributed work environment, career growth opportunities, and a commitment to diversity.

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