We are seeking a highly skilled Senior JavaScript Full-Stack Developer to accelerate the development of GenAI-based capabilities within our client’s products.
If you excel in your current role as an engineer and thrive in a dynamic, fast-paced environment, this position offers a thrilling opportunity to showcase your talents. Successful candidates will undergo comprehensive training in GenAI and have the opportunity to demonstrate their abilities through live coding interviews.
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.

REQUIREMENTS

• 3+ years of experience in software engineering
• Expertise in Node.js, TypeScript, and React
• Strong background in algorithms, data structures, and knowledge of their time complexities
• Understanding of full-stack development principles
• Skills in problem-solving and debugging
• Flexibility to work effectively in a remote team environment
• Capability to pass three live coding interviews involving medium complexity algorithms, as evidenced by previous experience solving coding challenges on platforms like Leetcode

• Lead the development and implementation of GenAI-based applications using Node.js, TypeScript, and React
• Design and optimize data structures and algorithms for performance and scalability
• Collaborate with cross-functional teams to integrate backend and frontend services
• Ensure code quality by conducting thorough reviews and implementing best practices
• Troubleshoot and resolve complex technical issues across the full technology stack