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Senior Developer with Cloud.AWS for a Retail Company

Senior Developer with Cloud.AWS for a Retail Company 40 hrs/week, 12+ months

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, women, and children 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 in eligible locations


                                                For you

                                                • Medical insurance package for you and your family
                                                  • Partial reimbursement of sports expenses
                                                  • 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

                                                  40 hrs/week

                                                  Hours per week

                                                  12+ months

                                                  Project length

                                                  Armenia, Brazil, Colombia, Georgia, Kazakhstan, Mexico, Uzbekistan

                                                  Locations eligible for the position