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Software Development Engineer II

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Expedia Group
Full Time position
Listed on 2026-05-16
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Cloud Engineer - Software, DevOps
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 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 Inspire and Plan team which sits within our Product & Technology division, owns our homepage, landing, navigation, app growth, and trip‑planning experiences, showcasing Expedia Group’s travel offerings. Through brand‑differentiated, personalized, and contextual journeys we help travelers plan their perfect trip with confidence while maximizing marketing efficiencies and traffic acquisition performance.

Role

Summary:

You will build and evolve scalable, AI‑ready experiences and services across these surfaces to improve traveler engagement, planning success, and conversion at the earliest stages of the shopping  this role you will:

Design, develop, test, and operate moderately complex software services and components, including system design (low-level design), API design, and data modeling within an established technical domain.

Deliver high-quality, maintainable code by applying standard engineering practices (code reviews, unit/integration testing, CI/CD) and contributing to the improvement of team development workflows.

Analyze functional and non-functional requirements to implement reliable, observable, and secure services, participating in on-call or production support as appropriate for your team.

Collaborate with product, program, and peer engineering teams to break down requirements, estimate work, and ship incremental value as part of an agile delivery process across multiple related services.

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 to technical documentation, knowledge sharing, and refactoring efforts that increase codebase quality and enable reuse across multiple services and domains.

Minimum Qualifications:

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Professional software development experience that demonstrates ownership of one or more services or components, typically including experience beyond entry-level (e.g., prior experience delivering production features end to end).Proficiency in at least one modern programming language and ecosystem, with hands-on experience in system design (LLD), API design, and data modeling for service-oriented or microservice-based architectures.

Experience building, testing, and operating backend or full-stack services in a production environment using standard engineering practices such as version control, automated testing, and continuous integration/deployment.

Familiarity with AI-driven systems, tools, or workflows and the ability to work with AI/ML‑enabled components safely within existing services.

Preferred Qualifications:

Proficiency with core web technologies (such as HTML, CSS, and JavaScript) and experience integrating with APIs and basic data models that support web functionality.

Experience designing and…
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