Drimva

Expedia

Senior Software Development Engineer, Loyalty - Full Stack

$199K–$318K

USA - California - San Jose · Senior · Full-time · Posted Oct 5, 2026

Experience
8+ years of relevant professional experience.
Education
Bachelor’s degree in Computer Science or a related technical field, or equivalent related professional experience.

About the job

Build and operate full-stack loyalty products, including embedded client-side experiences and AI-enabled personalization, across Expedia’s brands and partner surfaces.

What you'll do

  • Design, implement, and support scalable full-stack services and client-facing loyalty experiences, including embedded placements.
  • Lead system design and integrations across teams, covering APIs, data models, browser architecture, compatibility, privacy, and staged rollouts.
  • Integrate and operate AI/ML personalization and optimization, and mentor engineers on embedded and cross-team engineering practices.

What they ask for

  • Bachelor’s degree in Computer Science or a related technical field, or equivalent related professional experience.
  • 8+ years of relevant professional experience.
  • Professional experience building and operating full-stack services, including RESTful APIs, data models, and web applications.
  • Experience owning service or feature design and implementation in a multi-service or domain environment, plus proficiency in a modern programming language and familiarity with AI-driven systems or workflows.

Nice to have

  • Experience building client-side SDKs, tags, or embeddable widgets for surfaces owned by other teams or external partners.
  • React and TypeScript front-end experience; backend experience with Java or Node; or production AI/ML integration and developer AI tools such as Claude, GitHub Copilot, and Cursor.

Pay

$199,000.00 to $278,500.00 USD total cash; up to $318,500.00 USD total cash (top of range)

Tools

RESTful APIs, React, TypeScript, Java, Node, Claude, GitHub Copilot, Cursor

AI focus

Develop and operate AI/ML-enabled personalization, experimentation, and optimization capabilities in client-side loyalty experiences; apply AI tools and workflows to products and engineering work.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)