Overview

We are hiring a Senior .NET Full-Stack Developer to evolve our travel platform by combining full-stack engineering with AI-agent collaboration and agentic tooling. You will harden AI-assisted code, upgrade legacy services, and help meet SLOs across a multi-cloud environment—apply today.

Responsibilities

  • Create and ship complex full-stack features and services for the travel platform
  • Assess AI-generated code for security, correctness, performance, and maintainability while reinforcing quality standards
  • Refactor and migrate legacy services and architectures using cloud-native design patterns
  • Produce clean, optimized, testable code whether written directly or co-authored with AI agents
  • Streamline repetitive workflows like testing, documentation, and code review triage via agentic tools
  • Set up Model Context Protocol (MCP) integrations to connect AI agents with internal tools, data sources, and platform services
  • Improve distributed architecture across multiple cloud platforms to sustain scalable operations
  • Drive technical debt reduction and quality initiatives with Product Owners and Engineering Managers
  • Ensure sensitive member data is protected in partnership with Risk and Security teams
  • Establish and hit backend and system SLOs to enable continued growth
  • Guide junior developers to advance engineering practices and AI-assisted development expertise

Requirements

  • Degree in Computer Science, Computer Engineering, or comparable industry experience
  • Hands-on 3+ years of full-stack delivery building web applications and services
  • Practical 2+ years working with AI coding agents like Claude Code, Cursor, or GitHub Copilot
  • Expert-level skill in TypeScript/JavaScript, Python, or C#/.NET
  • Proven experience using modern frontend frameworks such as React, Next.js, Vue, or Angular
  • Strong foundation in RESTful API design, microservices, and modern web architectures
  • Experience operating in cloud platforms including AWS, Azure, or GCP
  • Knowledge of Model Context Protocol (MCP) setup and integration workflows
  • Understanding of RAG, LangChain, and graph-based data technologies like GraphRAG or GraphDB
  • Hands-on skills with Docker plus CI/CD pipeline implementation
  • Qualifications working in cloud and hybrid environments for high-performance applications
  • Exposure to streaming or distributed messaging platforms such as Redis, Kafka, or RabbitMQ
  • Track record of mentoring engineers and participating in technical design discussions
  • Upper-Intermediate English level (B2)

[GTS] Benefits (generic, except India)

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn