JavaScript Full Stack Engineer (Node.js & React)
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 stack featuring React micro-frontends, GraphQL federation, event-driven back ends and generative AI services. We practice AI-first engineering, meaning you will integrate AI coding assistants into your daily workflow to solve complex problems 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
- Experience with GraphQL development including Apollo Client, Apollo Server and Federation
- Knowledge of Node.js back-end frameworks such as Hapi or Express
- Expertise in data visualization and dashboards 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 collaborative 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
- Familiarity with monorepo tooling
- Understanding of CI/CD pipelines including Spinnaker, GitHub Actions and Docker
