We are looking for a Python Developer to architect, build, and support scalable cloud-native applications along with ETL data pipelines. The position involves API integration work, deployments based on Kubernetes, and close cooperation with both technical and business stakeholders.

Responsibilities

Architect and construct dependable software solutions that satisfy technical specifications and business objectives
Build and sustain data processing workflows that enable efficient and reliable data flow
Deploy and oversee containerized applications operating within orchestrated cloud infrastructure
Construct and integrate APIs to facilitate smooth communication between different systems and services
Take part in code reviews to uphold strong standards of code quality and uniformity
Diagnose and fix technical problems throughout the application stack in a prompt manner
Work together with cross-functional teams to convert business requirements into effective technical solutions
Support the ongoing enhancement of development workflows, tooling, and best practices

Requirements





At least 3 years of relevant professional experience
Solid working knowledge of Python 3.x fundamentals, including data structures, functions, modules, exception handling, and object-oriented programming
Experience architecting, building, and maintaining scalable cloud-native applications
Practical experience working with Kubernetes
Experience with at least one major cloud provider, such as AWS, Azure, or Google Cloud Platform
Experience building and maintaining ETL data pipelines
Experience developing and integrating APIs
Skilled use of Git and CI/CD tools, with GitHub Actions experience preferred
Strong communication abilities, with the capacity to collaborate effectively with technical and business stakeholders
Strong written and spoken proficiency in English at a B2 level or higher

Nice to have

Practical experience working with AWS
Experience using Pydantic for data validation and configurat

📌 Python Developer (Argentina)
🏢 EPAM Systems
📍 Argentina