Hybrid Full-Stack Engineer II - Checkout Platform

Expedia Group

Seattle (WA)

On-site

USD 119,000 - 191,000

Full time

11 days ago

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Benefits offered by this job

Medical, dental, and vision coverage
Paid time off
Wellness and travel reimbursement
Travel discounts
IATAN membership

Job summary

Expedia Group is seeking a Full Stack Software Engineer for our checkout applications in Seattle. You will design, implement, and maintain secure, scalable services and APIs to power high-demand travel experiences.

You'll own features end-to-end, collaborate with cross-functional partners, and help drive reliability with strong diagnostics and observability. The role emphasizes AI/ML-enabled workflows and rapid, safe innovation.

Qualifications

  • Bachelor's degree in CS or related field or equivalent experience.
  • 2+ years of relevant professional experience.
  • Experience designing and implementing APIs and data models.
  • Proficiency in at least one modern language and strong CS fundamentals.
  • Experience with service operations, monitoring, and deployments.

Responsibilities

  • Design, implement, and maintain robust, secure, scalable services and apps across domains.
  • Write clean, well-tested code and perform code reviews to improve quality.
  • Own end-to-end delivery from design to deployment and monitoring.
  • Diagnose production issues and drive reliability improvements.
  • Collaborate with teams on product discovery and data-driven decisions.
  • Safely integrate and operate AI/ML-enabled solutions.

Skills

JavaScript
TypeScript
React
Java/Kotlin
GraphQL

Education

Bachelor's degree in Computer Science or related field

Tools

API design
Data modeling

Job description

Expedia Group is seeking a Full Stack Software Engineer for our checkout applications in Seattle. You will design, implement, and maintain secure, scalable services and APIs to power high-demand travel experiences.

You'll own features end-to-end, collaborate with cross-functional partners, and help drive reliability with strong diagnostics and observability. The role emphasizes AI/ML-enabled workflows and rapid, safe innovation.

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