Senior Python Engineer

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
• Over 5 years of development experience with Python frameworks such as Django, Flask, or FastAPI
• Commercial experience with cloud platforms like AWS, Azure, or Google Cloud and hands-on use of associated services
• Competency in cloud-native technologies including Docker, Kubernetes, and serverless frameworks
• Skills in designing RESTful APIs and integrating third-party services
• Knowledge of database technologies including relational databases like MySQL, PostgreSQL and non-relational databases like MongoDB/DynamoDB
• Understanding of software development best practices including Agile methodologies, Git version control, and unit testing
• Experience with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or AWS CodePipeline
• Strong analytical and problem-solving skills
• Effective communication and teamwork abilities

Nice to have:

• Background in AI or ML technologies

• Deliver high-quality software solutions using Python for web applications, APIs, data pipelines, AI/ML models, and automation tools
• Design and manage cloud-based architectures utilizing platforms like AWS, Azure, or Google Cloud Platform (GCP)
• Create scalable microservices and serverless applications using cloud-native tools and frameworks
• Optimize data pipelines and workflows using Python and cloud services such as AWS Lambda, Azure Functions, or GCP Cloud Functions
• Promote system reliability and scalability utilizing best coding practices, automated testing, and effective monitoring
• Work with product, operations, and engineering teams to define requirements, refine features, and implement solutions
• Set up CI/CD pipelines to enhance deployment efficiency in cloud environments
• Address production issues and improve system performance in cloud setups
• Keep up to date with Python trends, cloud advancements, and evolving tools
• Mentor junior team members, perform code reviews, and uphold quality standards across the team

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