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Developer in Python.Core for a Retail Company

Developer in Python.Core for a Retail Company 40 hrs/week, 12+ months
Sorry, the job is expired

Currently we are looking for a remote Developer in Python.Core to join our global team.

The customer is a retailer of branded footwear and apparel. The company offers men, women, and children shoes, clothing, and accessories including sportswear for football, tennis, golf, running, basketball, and training purposes.


  • Write effective, scalable code
    • Develop back-end components to improve responsiveness and overall performance
      • Integrate user-facing elements into applications
        • Test and debug programs
          • Improve functionality of existing systems
            • Implement security and data protection solutions
              • Assess and prioritize feature requests
                • Coordinate with internal teams to understand user requirements and provide technical solutions


                  • 6+ months of professional software development experience in Python or Golang
                    • Working experience developing and using RESTful APIs
                      • 6+ months of experience with AWS services (EC2, S3, DynamoDB, EMR) or other public cloud services (Google, Microsoft, etc.)
                        • Professional experience with Kubernetes
                          • Excellent written & verbal communication skills in technical and non-technical areas
                            • Basic understanding about machine learning concepts, theory and application
                              • Being a good team player
                                • Confident English level (B2+)

                                  Nice to have

                                  • Knowledge of CI/CD, Scala
                                    • Knowledge of Spark, Terraform
                                      • Experience with Airflow, ArgoCD
                                        • Understanding of Kubeflow, Tensorflow
                                          • Knowledge of Pytorch
                                            • Familiar with AWS SageMaker
                                              • Understanding of R or Databricks ecosystem

                                                Benefits in eligible locations


                                                For you

                                                • Voluntary health insurance for you (100% covered) and your family (with corporate discount)
                                                • Individual sessions with professional psychologists and coaches
                                                • Free corporate sports and wellness programs
                                                • Stable income
                                                • Paid time off

                                                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 and soft skills
                                                  • Access to LinkedIn Learning platform
                                                  • Language courses
                                                  • Access to internal and external e-Libraries
                                                  • Certification opportunities
                                                  • Skill advisory service

                                                    40 hrs/week

                                                    Hours per week

                                                    12+ months

                                                    Project length

                                                    Armenia, Belarus, Colombia, Georgia, Italy, Kazakhstan, Mexico, Russia, Ukraine, Uzbekistan

                                                    Locations eligible for the position