Software Development Engineer II

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.

About The Team We build and operate Expedia Group's core CI infrastructure that powers engineering teams across multiple domains. Our mission is to deliver fast, reliable, and scalable build systems—spanning native, backend, platform, and service teams—enabling developers to ship high‑quality software with confidence.

An established performer who consistently applies software engineering principles to business contexts, leads small, well‑defined projects and continues as a supporting player on complex projects, and actively identifies inefficiencies in existing systems.

In This Role, You Will

• Design, develop, test, and maintain services and components using established engineering standards, with an emphasis on clean code, low‑level system design, API design, and data modeling.
• Collaborate with peers, product managers, and other partners to break down business requirements into technical solutions that are scalable, secure, and maintainable across multiple domains.
• Own features or services through the full development lifecycle, including implementation, code reviews, deployment, monitoring, and operational support, while contributing to continuous improvement of engineering practices.
• Troubleshoot production issues, perform root cause analysis, and implement preventative improvements that enhance reliability, performance, and operability of services.
• Contribute to and consume shared libraries, frameworks, and patterns to enable reuse and technical consistency, while ensuring solutions integrate effectively with adjacent systems and platforms.
• Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML‑enabled solutions that improve outcomes within owned services.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Experience as a software engineer working on production services or applications, including ownership of features or services through design, implementation, and support.
• Proficiency in at least one modern programming language and related ecosystem, with hands‑on experience in service development, low‑level design, API design, and data modeling.
• Experience building, testing, and deploying software in a collaborative environment using standard development tools, version control, and code review practices.
• Demonstrated ability to own the quality, reliability, and operational readiness of one or more services or components within a larger system.

Preferred Qualifications

• Hands‑on AWS experience — compute, storage, networking, autoscaling.
• Experience with Terraform, packer, GitHub suite (GH Actions, workflows and runners).
• Experience designing and evolving service architectures, including clear API contracts, resilient integration patterns, and data models that support growth and extensibility.
• Hands‑on experience operating services at scale, including performance optimization, monitoring/alerting, and improving reliability through data‑driven decisions.
• Experience contributing to technical direction within a team, such as refining system designs, improving development workflows, or elevating standards for testing and observability.
• Experience working with or integrating AI/ML‑enabled components or platforms into production services, ensuring they are used safely, reliably, and to measurably improve customer or business outcomes.
• Exposure to AI‑driven development tools or workflows (for example, code assistance, intelligent testing, or automation) and applying foundational AI/ML concepts to enhance features, optimize systems, or improve engineering efficiency.

Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.