Senior Software Engineer (Python)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

• 3+ years of professional software engineering experience
• Proficiency in Python development, coupled with skills in object-oriented languages such as Java or C++
• Background in Computer Science, Mathematics, Engineering, or a related discipline, ideally with an undergraduate degree
• Understanding of computer algorithms and classic data structures
• Fundamental knowledge in mathematical modeling, quantitative analysis, data optimization, or statistics
• Expertise in data analytics libraries such as Pandas and NumPy
• Familiarity with technologies like AWS Analytics, MATLAB, Bitbucket, and Bamboo
• Experience in Agile development methodologies with flexibility to adapt and support delivery pipelines
• Capability to work independently and deliver high-quality solutions within tight deadlines
• Showcase of attention to detail, critical thinking, and passion for problem-solving

Nice to have:

• Experience in the Investment Management industry
• Background in numerical computation, statistical analysis, or simulation projects
• Skills in advanced Python programming applied to mathematical modeling and data frameworks

• Drive the development and enhancement of high-volume scalable platforms within a Microservice architecture
• Collaborate with cross-functional teams to build robust and scalable mathematical models for millions of case studies
• Apply Python development expertise while ensuring code quality, performance, and maintainability
• Design and implement solutions using diverse technologies, including Java, AWS Analytics, MATLAB, and Atlassian toolsets like Bamboo and Bitbucket
• Leverage automatic testing frameworks like Cucumber to ensure reliability and consistency
• Participate in state-of-the-art Agile practices and contribute to continuous delivery pipelines
• Support application improvements and resolve systems issues efficiently
• Implement quantitative strategies to optimize mathematical models and data-related processes
• Drive team initiatives by mentoring junior engineers and promoting knowledge sharing