Full Stack Software Engineer (Java | JavaScript)

Join EPAM Systems to work with a leading global travel technology company and help revolutionize the travel experience. In this role, you will build performance analytics and coaching tools for hundreds of thousands of lodging partners worldwide. These tools empower partners to understand their market position, optimize rates and act on AI-powered insights to grow their business.
Our team focuses on AI-powered performance analytics, multi-property dashboards and data-driven coaching opportunities. You will work across a full stack environment featuring React micro-frontends, GraphQL federation, event-driven back-end systems and generative AI services. We practice AI-first engineering, meaning you will integrate AI coding assistants into your daily workflow to solve complex problems faster and iterate efficiently.
Responsibilities
Build and enhance performance analytics dashboards to help partners improve business metrics
Develop clear data visualization components including charts, tables and bulk action interfaces
Create scalable, resilient and performant applications using React, GraphQL and Node.js
Participate actively in design sessions to challenge ideas, support peers and resolve technical roadblocks
Collaborate with product and project management teams to shape new features
Integrate AI coding tools into your daily development workflow to accelerate delivery
Monitor, support and maintain application performance
Contribute to the design and implementation of GenAI-powered features
Requirements
Proficiency in TypeScript and React for dynamic front-end applications
Solid understanding of Java SpringBoot for back-end development
Experience with GraphQL development including Apollo Client/Server and Federation
Knowledge of Node.js back-end frameworks such as Hapi or Express
Expertise in data visualization and dashboarding with libraries like ECharts or D3
Familiarity with AI assistance tools for coding and development workflows
Understanding of web performance optimization techniques and Core Web Vitals
Background in Agile or Scrum environments
Nice to have
Experience with AWS services such as Lambda, DynamoDB, S3 and SQS
Knowledge of event-driven architecture, Kafka and message streaming
Familiarity with server-side rendering and performance tuning for data-heavy pages
Exposure to large language model integration or agentic AI patterns
Experience with observability and monitoring tools like Datadog or Splunk