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