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senior developer with for a retail company

Cloud.AWS, Docker, Kubernetes
Armenia, Kazakhstan, Uzbekistan, Georgia

Currently, we are looking for a remote Senior Developer with Cloud.AWS to join our global team.

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

  • Understanding the current application infrastructure and suggest changes to it
    • Migrating infrastructure with zero downtime to a highly available, scalable one
      • Setting up a monitoring stack
        • Implementing the application’s CI/CD pipeline using the AWS CI/CD stack
          • Writing infrastructure as code using CloudFormation
            • Proficient knowledge of object-oriented programming combined with 3+ years of software development experience in: Python or Golang
              • Experience with Kubernetes and the broader container ecosystem
                • Experience with container-native machine learning ecosystem such as Kubeflow
                  • Understanding of Docker, Kubernetes or other container technologies
                    • Experience using AWS services (i.e. EC2, S3, DynamoBD, EMR, SageMaker) or other public
                      • cloud services (Google, Microsoft, etc.)
                        • Hands-on experience in designing and building large-scale software and/or data
                          • architecture
                            • Willingness to learn other programming languages while working at Nike
                              • Excellent written & verbal communication skills in technical and non-technical areas
                                • Being a good team player
                                  • At least 3 years of working experience
                                    nice to have
                                    • Knowledge of Amazon Web Services
                                      • Knowledge of Apache Airflow, Apache Spark
                                        • Understanding of Argo CD, Linux
                                          • Knowledge of PyTorch
                                            • Familiar with R Language
                                              • Knowledge of Scala, TensorFlow, Terraform

                                                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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