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DevOps Engineer for a Retail & Distribution company

DevOps Engineer for a Retail & Distribution company 40 hrs/week, 12+ months
Sorry, the job is expired

Currently we are looking for a remote DevOps Engineer for a Retail & Distribution company for our 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.


  • to learn new technologies, share knowledge and learn from others;
    • to work on challenging tasks if necessary and look for opportunities to help others, who may not be part of your team;
      • to design and build large-scale software and/or data architecture;
        • to develop and use RESTful APIs.


          • 6+ months of experience in software development in Python or Golang;
            • Proficient knowledge of object-oriented programming ;
              • 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;
                    • Hands-on experience in designing and building large-scale software and/or data architecture;
                      • Willingness to learn other programming languages;
                        • Excellent written & verbal communication skills in technical and non-technical areas;
                          • Masters’ or Bachelors' degree in Computer Science or a related field;
                            • Being a good team player.

                              Nice to have

                              • Hands-on experience using any of following technologies: Scala, Spark, Terraform, Airflow, ArgoCD, Kubeflow, Tensorflow, Pytorch, AWS SageMaker, R or Databricks ecosystem.
                                • Knowledge about machine learning (concepts and application).
                                  • Knowledge of:
                                    • Linux
                                      • PyTorch
                                        • R Language
                                          • 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