Lead AI Data Software Engineer

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.

• 5+ years of experience in software development with Data Software Engineering technologies
• Advanced knowledge of Python
• Vast experience with Spark and Databricks
• Experience with cloud platforms such as Azure, Amazon Web Services, Google Cloud Platform
• Experience with and confidence in using AI development tools e.g., Claude Code, Github Copilot, Cursor
• Experience in managing small and mid-size teams using Agile methodology
• Ability to explain technological solutions in a simple, business-oriented way
• Bachelor's degree in Computer Science, Mathematics, related technical field or equivalent practical experience
• Exceptional oral and written communication skills in English (B2+)

Nice to have:

• Experience in building Agentic AI solutions
• Preferred experience with message queues, specifically Kafka, and working with large data transfer applications/middleware
• Production experience in search technologies such as Solr, OpenSearch, or Lucene is highly advantageous
• Knowledge of Scala or Java

• Develop and implement innovative analytical solutions using Cloud Native, Data, and NoSQL-related technologies
• Develop and implement Cloud/On-Premise/Hybrid solutions using best-in-the-class data frameworks
• Drive next waves of AI adoption
• Work with product and engineering teams to understand requirements and evaluate new features and architecture to help drive decisions
• Build collaborative partnerships with architects, technical leads and key individuals within other functional groups
• Perform detailed analysis of business problems and technical environments and use this in designing quality technical solution
• Actively participate in code review and test solutions to ensure they meet best practice specifications
• Build and foster a high-performance engineering culture, mentor team members and provide the team with the tools and motivation
• Write project documentation