Software Development Engineer II

Expedia•Seattle, WA

4d•$119,000 - $190,500•Hybrid

About The Position

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. Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Introduction to the Team The Supply team builds and scales partner-facing technology that helps our partners succeed across the Expedia Group platform. We work at the intersection of product, engineering, and business operations to deliver reliable, high-impact solutions that improve partner experiences, enable growth, and support strategic initiatives across a global ecosystem. Our team values strong ownership, technical excellence, collaboration, and customer focus. We solve complex problems at scale, move quickly with purpose, and partner closely with cross-functional teams to deliver meaningful outcomes. Joining Supply means working on products and platforms that directly influence partner success and contribute to Expedia Group’s broader mission.

Requirements

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 working on production systems and services.
Experience owning and delivering components or services within a larger system, including responsibility for design, implementation, testing, and operational readiness.
Proficiency in at least one modern programming language and core computer science fundamentals such as data structures, algorithms, object-oriented design, and distributed systems basics, including experience building and consuming APIs and working with relational or NoSQL data stores.

Nice To Haves

2+ years of full‑stack development experience across front‑end and back‑end services
Recent hands-on experience building and operating Node.js + React-based applications in production
Experience implementing and maintaining GraphQL-based backends
Experience designing and implementing service APIs and data models consumed by multiple teams or products
Experience running production services with monitoring, alerting, and on-call participation (e.g., pager rotation)
Experience as a Clean Code practitioner committed to producing high-quality code.
Solid experience with agile project methodologies and working with distributed teams.

Responsibilities

Design, develop, test, and maintain high-quality software components and services, contributing to low-level system design, API design, and data modeling within your team’s domain.
Implement robust, secure, and performant code using established engineering best practices, including automated testing, code reviews, observability, and continuous integration and delivery.
Collaborate with product, design, and engineering peers to refine requirements into clear technical solutions, breaking down work into incremental, shippable deliverables.
Troubleshoot, debug, and resolve production issues, improving reliability, scalability, and operational excellence of services you own or support.
Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.
Contribute to documentation, knowledge sharing, and cross-team collaboration, enabling your solutions to be reusable and fungible across multiple services and domains.