Backend Engineer – Pricing & AI (SDE II)

Expedia Group; Seattle (WA); On-site; USD 119,000 - 167,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Employee Assistance Program

Travel discounts

Job summary

Expedia Group in Seattle is seeking a Backend Software Engineer to design, develop, test, and maintain pricing services, ensuring speed, availability, and scalability under high demand.

You will collaborate with product, design, and partner teams to implement robust monitoring, secure coding practices, and AI/ML concepts in real-world travel pricing solutions, while driving reliability in production systems.

Qualifications

• Bachelor’s degree in Computer Science or related field or equivalent experience.
• 2+ years of professional software development experience.
• Experience owning features end-to-end within a team.
• Proficiency in at least one modern programming language and API design.
• Familiarity with AI-driven systems and AI/ML concepts.

Responsibilities

• Design, develop, test, and maintain pricing services and components.
• Contribute to system and API design, and data modeling for scalable solutions.
• Collaborate with product, design, and partner teams to deliver value iteratively.
• Own operational quality with monitoring, testing, and on-call participation.
• Apply secure coding practices and improve engineering standards.

Skills

Java / Scala / Kotlin

APIs & data modeling

AI/ML familiarity

CI/CD & observability

Low-latency microservices

Education

Bachelor’s degree in Computer Science or related field

Tools

CI/CD pipelines

Observability tools

Job description

Expedia Group in Seattle is seeking a Backend Software Engineer to design, develop, test, and maintain pricing services, ensuring speed, availability, and scalability under high demand.

You will collaborate with product, design, and partner teams to implement robust monitoring, secure coding practices, and AI/ML concepts in real-world travel pricing solutions, while driving reliability in production systems.