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Middle DevOps Engineer for Multinational Corporation

Middle DevOps Engineer for Multinational Corporation 40 hrs/week, 12+ months

Currently, we're looking for a remote Middle DevOps Engineer for Multinational


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.


  • Developing services and platform that drive AI/ML activity
    • Builds services, tools and libraries that help Data Scientists bring their models faster from development phase to scalable, performant and reliable production solutions


      • Working experience developing and using RESTful APIs
        • 2+ years 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
                  • English level: B2

                    Nice to have

                    • Have experience using any of following technologies: Scala, Spark, Terraform, Airflow.
                      • Good knowledge of ArgoCD, Kubeflow, Tensorflow, Pytorch, AWS SageMaker

                        Benefits in eligible locations


                        For you

                        • Paid time off
                        • Paid sick leave days
                        • Health insurance
                        • Stable income

                        For your comfortable work

                        • 100% remote work forever
                        • Stable workload
                        • Free licensed software
                        • Possibility to work on your own device (BYOD)
                        • Relocation opportunities
                        • Flexible engagement models

                        For your growth

                        • Free trainings for technical and soft skills
                        • Free access to LinkedIn Learning platform
                        • Skyeng language courses
                        • Free access to internal and external e-Libraries
                        • Certification opportunities
                        • Skill advisory service

                        40 hrs/week

                        Hours per week

                        12+ months

                        Project length

                        Georgia, Kazakhstan

                        Locations eligible for the position