Senior Python Developer Remote Job | EPAM Anywhere
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Senior Python Developer for a Luxury Department Store Chain

Senior Python Developer for a Luxury Department Store Chain 40 hrs/week, 12+ months
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Currently, we are looking for a remote Senior Python Developer with 3+ years of software development experience, and familiarity with machine learning, including lifecycle management and model serving to join our team.

Our customer is an American luxury department store chain. The company originated as a shoe store and evolved into a full-line retailer with departments for clothing, footwear, handbags, jewelry, accessories, cosmetics, and fragrances.

The project is focused on building the road to real-time, machine-learned insights, which will help anyone from an engineer to an executive to easily discover key data within the cloud, transform it seamlessly and use machine learning to drive actual business decisions in real-time.

As a Senior Python Developer on the customer's Machine Learning Platform (MLP) team, you will be at the heart of ML and AI. This includes designing and building new features for our platform using technology like Git, Docker, Golang, and Python. You’ll have the opportunity to collaborate with other engineers as well as data scientists as part of your daily development. With a keen customer focus, you will help identify performance issues by instrumenting key areas and configuring relevant alerts. And, of course, since you recognize that every system should be secure by design, you will apply your understanding of secure coding practices to all the features you deliver. All of this will help you build a delightful solution, enticing new customers to onboard the customer's platform.


  • Proposing technical designs for new MLP features and components
    • Identifying and building automated tests for each of these using Nordstrom’s engineering standards
      • Developing and fostering a healthy and collaborative culture for your team that embodies both industry best practices and Nordstrom values
        • Growing other teammates and sharing knowledge through pair programming and presentations


          • 3+ years of professional software development experience
            • Experience in AWS, Kubernetes, Docker, Python, Golang and streaming technologies like Kafka and Flink
              • Experience in business and test-driven development, integration testing and continuous delivery
                • Familiarity with machine learning, including lifecycle management and model serving
                  • Experience working in agile setup
                    • Excellent written and verbal communication skills

                      Nice to have

                      • Experience in Spark
                        • Experience in Flask

                          Benefits in eligible locations


                          For you

                          • Voluntary health insurance for you (100% covered) and your family (with corporate discount)
                          • Individual sessions with professional psychologists and coaches
                          • Free corporate sports and wellness programs
                          • Stable income
                          • Paid time off

                          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
                            • 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

                              Belarus, Colombia, Russia, Ukraine

                              Locations eligible for the position