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senior python developer for a luxury department store chain

Python.CoreCloud.AWS, Kubernetes, Docker, Go Language
Armenia, Brazil, Colombia, Georgia, Mexico
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Currently, we are looking for a remote Senior Python Developer with 3+ years of software development experience, and familiarity with machine learning, including lifecycle management and model serving to join our team.

Our customer is an American luxury department store chain. The company originated as a shoe store and evolved into a full-line retailer with departments for clothing, footwear, handbags, jewelry, accessories, cosmetics, and fragrances.

The project is focused on building the road to real-time, machine-learned insights, which will help anyone from an engineer to an executive to easily discover key data within the cloud, transform it seamlessly and use machine learning to drive actual business decisions in real-time.

As a Senior Python Developer on the customer's Machine Learning Platform (MLP) team, you will be at the heart of ML and AI. This includes designing and building new features for our platform using technology like Git, Docker, Golang, and Python. You’ll have the opportunity to collaborate with other engineers as well as data scientists as part of your daily development. With a keen customer focus, you will help identify performance issues by instrumenting key areas and configuring relevant alerts. And, of course, since you recognize that every system should be secure by design, you will apply your understanding of secure coding practices to all the features you deliver. All of this will help you build a delightful solution, enticing new customers to onboard the customer's platform.

nice to have

benefits for locations


For you

  • Medical insurance package for you and your family
  • Stable income
  • Paid sick leave days

For your comfortable work

  • 100% remote work forever
  • Free licensed software
  • Possibility to work on your own device (BYOD)
  • Stable workload
  • Relocation opportunities
  • Flexible engagement models

For your growth

  • Free trainings for technical, soft, and leadership skills
  • Access to LinkedIn Learning platform
  • Language courses
  • Access to internal and external e-Libraries
  • Certification opportunities
  • Skill advisory service
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