Python разработчик

EPAM provides digital platform engineering and software development services, helping clients navigate digital transformation through innovative technology solutions.

• Develop high-quality software using Python across web applications, APIs, data pipelines, AI/ML models, and automation tools;
• Architect and oversee cloud-based systems on platforms such as AWS, Azure, or Google Cloud Platform;
• Build scalable microservices and serverless applications leveraging cloud-native tools and frameworks;
• Enhance data pipelines and workflows through Python and cloud services;
• Strengthen system reliability and scalability through best coding practices, automated testing, and robust monitoring;
• Collaborate with product, operations, and engineering teams to gather requirements, refine features, and roll out solutions;
• Establish CI/CD pipelines to improve deployment efficiency within cloud environments;
• Troubleshoot production issues and enhance system performance across cloud infrastructures;
• Stay current with Python developments, cloud innovations, and emerging tools;
• Guide junior team members, conduct code reviews, and maintain quality standards throughout the team.

• Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent hands-on experience;
• Minimum 3 years of Python development experience, particularly with frameworks like Django, Flask, or FastAPI;
• Professional experience with cloud platforms such as AWS, Azure, or Google Cloud, along with practical use of related services;
• Proficiency in cloud-native technologies such as Docker, Kubernetes, and serverless frameworks;
• Ability to design RESTful APIs and integrate third-party services;
• Familiarity with database technologies, spanning relational databases like MySQL/PostgreSQL and non-relational options like MongoDB/DynamoDB;
• Solid grasp of software development best practices, Agile methodologies, Git version control, and unit testing;
• Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or AWS CodePipeline;
• Sharp analytical and problem-solving skills for addressing technical obstacles;
• Strong communication skills and capacity to work effectively within team environments;
• Nice to have: Experience in AI or ML technologies.

• No conditions specified