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Developer with Cloud.AWS for a Retail Company

Developer with Cloud.AWS for a Retail Company 40 hrs/week, 12+ months
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Currently we are looking for a remote 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 6+ months 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 6+ months of working experience

                                    Nice to have

                                    • Knowledge of Amazon Web Services
                                      • Knowledge of Apache Airflow, Apache Spark
                                        • Understanding of Argo CD, Linux
                                          • PyTorch experience
                                            • Understanding of R Language
                                              • Knowledge of Scala, TensorFlow, Terraform

                                                Benefits in eligible locations


                                                For you

                                                • Prepaid Medicine with Colsanitas for you and your legal dependents 
                                                • MetLife Life Insurance for you 
                                                • Thousands of projects for top brands
                                                • Stable income

                                                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
                                                • Free access to LinkedIn Learning platform
                                                • Support from a personal Skill Advisor
                                                • Language courses
                                                • Free access to internal and external e-Libraries
                                                • Access to internal communities and competency centers
                                                • Certification opportunities

                                                40 hrs/week

                                                Hours per week

                                                12+ months

                                                Project length

                                                Brazil, Colombia

                                                Locations eligible for the position