Software Development Engineer II (Full Stack FE Heavy)

Expedia, Inc.; Gurugram District; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

Expedia Group’s Loyalty India engineering team builds the NorthStar Loyalty Platform powering rewards, earn/burn experiences, and memberships across Expedia brands. You’ll work across the full stack with React on the frontend and Java/Spring Boot on the backend, deploying on AWS, and exploring AI-driven incentives and personalized messaging.

The role focuses on end-to-end feature ownership with collaboration across product, design, and geographies, contributing to scalable UI components and data

Qualifications

• Bachelor's degree in Computer Science or a related technical field or equivalent professional experience.
• 2+ years of relevant professional experience.
• Experience building web applications with React, JavaScript/TypeScript, HTML, and CSS.
• Hands-on experience developing and integrating Java-based APIs with Spring Boot, understanding API contracts, and data modeling.
• Proven ability to deliver end-to-end features across the stack in a full-time role.
• Familiarity with AI-driven systems and applying AI/ML concepts to products.

Responsibilities

• Design, build, and enhance React-based web experiences for loyalty use cases.
• Develop and integrate Java/Spring Boot APIs to connect UI with backend services.
• Collaborate with product, design, and backend engineers to translate requirements into components and data models.
• Own end-to-end delivery of features across the stack (≈70% frontend, 30% backend).
• Safely integrate and operate AI/ML-enabled solutions to improve traveler experiences.
• Share best practices and contribute reusable frontend/backend patterns across loyalty domains.

Skills

React

JavaScript/TypeScript

HTML/CSS

Spring Boot

AI/ML concepts

End-to-end delivery

API design

Education

Bachelor's degree in Computer Science or related field

Tools

GraphQL

AWS

CI/CD

Job description

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Brief Introduction to the team:

We're the Loyalty India engineering team within Expedia Group's Membership & Engagement org, and we build the NorthStar (N*) Loyalty Platform, the core system powering rewards, membership, and earn/burn experiences across Brand Expedia, Hotels.com, and Vrbo. Millions of travelers interact with what we ship every day, from earning points on a booking to redeeming them for their next trip.

On the tech side, we work across the full stack, building customer-facing UI with React.js and our Aerofoil/SDUI framework, and backend services in Java and Spring Boot running on AWS. We're also leaning into agentic AI tools like Claude, Codex, and Cursor to speed up how we build and ship.

It's a fast-paced, collaborative team that values ownership, curiosity, and learning by doing, and you'd get to work closely with product, design, and engineers across geographies on problems that directly move the needle for One Key and our loyalty programs.

In this role, you will:

• Design, build, and enhance React-based web experiences for loyalty use cases such as messaging, coupons, and earn/burn displays, ensuring high-quality, performant, and accessible UIs for travelers.
• Develop, consume, and integrate Java and Spring Boot APIs to connect front-end applications with backend loyalty platform services, including work on checkout flows and gift card experiences.
• Collaborate closely with product, design, and backend engineers to translate business requirements into scalable UI components, API contracts, and data models, contributing to both low-level system design and API design.
• Own end-to-end delivery of features across the stack (approximately 70% front end, 30% back end), including coding, code reviews, testing, debugging, and incremental rollout of customer-facing loyalty experiences.
• Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including AI-driven smart incentives, banners, and traveler messaging across key surfaces such as home page, SRP, and PDP.
• Help elevate the broader team's front-end and full-stack capabilities by sharing best practices, pairing with engineers, and contributing reusable patterns that can be applied across multiple loyalty experience domains.

Minimum Qualifications:

• Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience.
• 2+ years of relevant professional experience.
• Professional software development experience building web applications, including production experience with React, JavaScript/TypeScript, HTML, and CSS.
• Hands-on experience developing and integrating Java-based APIs using frameworks such as Spring Boot, with the ability to understand API contracts and contribute to service, API, and data model design.
• Proven ability to deliver features end to end across the stack in a full-time engineering role, owning front-end implementation while contributing to backend/API integration and quality.
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, particularly in the context of personalized customer experiences or incentives.

Preferred Qualifications:

• Experience building and optimizing complex React applications at scale, including component architecture, state management, performance tuning, and robust testing strategies.
• Exposure to GraphQL or similar API paradigms for querying and aggregating data, and applying sound API design principles for experience-focused services.
• Demonstrated ability to design and implement low-level system design, API contracts, and data models for customer-facing web experiences, with a focus on reliability, observability, and operational excellence.
• Experience integrating or extending AI/ML-enabled capabilities in the web layer (for example, dynamic incentives, personalized messaging, or content ranking) and safely operating these features in production.
• Familiarity with modern AI-assisted development or experimentation tools (such as code assistants, feature flagging, or experimentation platforms) and using data-driven insights to refine and scale loyalty product experiences, including safely integrating and operating AI/ML-enabled solutions that improve traveler outcomes.

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.