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# Software Development Engineer II

- **Company:** Expedia Inc.
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Salary:** $111,000.0 - $155,500.0
- **Contract:** Permanent contract
- **Skills:** LTE (Telecommunication), Artificial Intelligence, Software Quality, Software Debugging, Software Design Documents, Machine Learning, Software Engineering, Information Technology, Api Design, Software Version Control
- **Published:** August 29, 2026
- **Apply:** https://www.dice.com/job-detail/8e8d3fe0-87a1-4066-a6a6-269dc385f7a5

## About the Role

* Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience.
 * 2+ years of relevant professional experience.
 * Experience owning and delivering software within a service or multi-service environment, including responsibility for production quality and operational performance.
 * Proficiency with software development fundamentals, system design, low-level design, API design, data modeling, testing, debugging, and version control.
 * Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products., * Experience designing and operating reliable, scalable services in production, including monitoring, troubleshooting, performance improvement, and incident response.
 * Demonstrated ability to make data-driven engineering decisions and improve system quality, delivery outcomes, and operational efficiency.
 * Experience contributing to architecture and technical design decisions within a service, multi-service, or technical domain scope.
 * Practical experience integrating AI/ML-enabled capabilities into software products, with attention to safety, reliability, maintainability, and measurable outcomes.
 * Experience working across multiple technical domains and adapting engineering approaches to solve varied product and platform challenges.

## Description

* Apply sound engineering judgment to system design, low-level design, API design, data modeling, implementation, and code quality.
 * Collaborate with engineers and cross-functional partners to deliver maintainable services and features from development through production operation.
 * Diagnose and resolve complex technical issues using data, testing, monitoring, and structured problem-solving techniques.
 * Safely integrate and operate AI/ML-enabled solutions that improve outcomes, while applying foundational AI/ML concepts to real-world products and workflows.
 * Contribute technical expertise across services and domains, strengthening engineering practices, operational excellence, and the long-term evolution of the platform.


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