We are seeking a Python Full-Stack Developer who can build and support production-grade web applications while also understanding how they are deployed and operated in a containerized environment. You will work across application code, infrastructure configuration, and production support to deliver reliable, data-driven features—apply now.
Responsibilities
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Design and build production-grade web applications using Python and modern front-end frameworks
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Develop and maintain APIs, services, and data-driven application features
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Implement and improve CI/CD pipelines to automate build, test, and deployment workflows
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Deploy and operate applications in Kubernetes and troubleshoot deployment and runtime issues
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Configure and maintain container images and runtime environments for reliable releases
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Establish observability practices across logging, monitoring, and operational stability
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Support production incidents by diagnosing issues across application and infrastructure layers
Requirements
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2+ years of Python development experience
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2+ years of full-stack web development experience
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Hands-on DevOps experience with cloud deployments on Amazon Web Services
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Strong Kubernetes experience operating and troubleshooting containerized workloads
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Solid API development skills for services and data-driven applications
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Strong engineering discipline focused on code quality, testing, and maintainability
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Upper-Intermediate English proficiency (B2)
Nice to have
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Agile delivery experience
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Continuous Integration Development & Maintenance expertise
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Docker proficiency
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Plotly and Plotly DASH experience
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
