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Software Development Engineer III - Full-Stack Developer

Job in Seattle, King County, Washington, 98127, USA
Listing for: Expedia, Inc.
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Full Stack Developer, AI Engineer, Software Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees’ passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Introduction to the Team

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.

The Software Development Engineer III - Full‑Stack Developer role is part of the Offers Experience Merchandising Team within our Product & Technology division. The Offers Experience Merchandising team focuses on integrating promotional badges, discount messaging, and shopping banners into the customer shopping experiences including search results and other highly visible experiences, working on high‑visibility merchandising experiences and capabilities that help customers discover and understand deals.

In this role, you’ll be using AI‑powered tools to develop scalable systems that integrate with shopping and experience APIs to deliver configurable, high‑visibility features like promotional messaging and the price display. You’ll collaborating closely with Product, Design, and cross‑functional engineering teams to create compelling merchandising experiences that drive customer engagement.

In this role, you will:
  • Design, build, and evolve robust full‑stack services and applications, including system design, low‑level design, API design, and data modeling to support resilient, high‑traffic travel experiences across multiple domains.
  • Own end‑to‑end delivery of complex features and services, from technical design and implementation through testing, deployment, monitoring, and ongoing optimization in a cloud‑based environment.
  • Collaborate with product, design, and peer engineering teams to translate business and customer requirements into scalable technical solutions, ensuring high usability, performance, and reliability.
  • Drive engineering excellence by setting standards for code quality, automated testing, observability, security, and operational readiness, and by mentoring other engineers in full‑stack best practices.
  • 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 as a fungible full‑stack engineer across multiple product and service areas, selecting appropriate technologies and patterns to solve problems efficiently while managing technical debt.
Minimum Qualifications:
  • Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.
  • 5+ years of relevant professional experience.
  • Proven experience designing and implementing backend services and RESTful or Graph

    QL APIs, including sound data modeling and low‑level design, plus building responsive, modern web frontends.
  • Demonstrated ability to own the health, reliability, and performance of services or applications you build, including monitoring, incident participation, and iterative improvement based on data.
  • Proficiency in at least one modern programming language and associated frameworks across the stack, along with familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products.
Preferred Qualifications:
  • Demo…
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