Expedia

Overview

We are seeking a Software Development Engineer III to design, build, and evolve complex, highly available services and applications, leading end-to-end ownership of critical services within our Reviews platform.

About Expedia

Expedia Group helps travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Requirements & Eligibility

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of professional software development experience building and operating production services or applications, including ownership of at least one significant service or component.
• Strong proficiency in one or more modern programming languages and frameworks, with proven ability to design APIs, data models, and low-level system components for scalable, distributed systems.
• Demonstrated experience owning the full lifecycle of services within a team or domain environment.
• Familiarity with AI-driven systems, tools, or workflows and the fundamentals of integrating such capabilities safely into existing applications or services.

Key Responsibilities

• Design, build, and evolve complex, highly available services and applications, including system design (low-level design), API contracts, and data models that are resilient, scalable, and maintainable.
• Lead end-to-end ownership of one or more critical services or components within a broader domain, from technical design and implementation through deployment, monitoring, and ongoing operational excellence.
• Write high-quality, well-tested code, establish coding standards, and perform deep code reviews that improve reliability, performance, security, and long-term maintainability across the team.
• Collaborate with product, architecture, and other engineering teams to translate business and customer requirements into technical solutions that can be reused across multiple domains and platforms.
• 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.
• Diagnose and resolve complex production issues, drive root cause analysis and long-term fixes, and improve observability, automation, and operational processes across services and domains.