Software Development Engineer III - Full Stack

Expedia•Seattle, WA

About The Position

Expedia Group is a global travel company that connects travelers, partners, and advertisers through its consumer brands, B2B network, and travel advertising business. The Technology Team partners with various departments to create innovative products, services, and tools for high-quality traveler, partner, and employee experiences. The Supply team specifically builds and scales partner-facing technology, working at the intersection of product, engineering, and business operations to deliver reliable, high-impact solutions that improve partner experiences, enable growth, and support strategic initiatives. This role involves designing, building, and evolving full-stack services and customer experiences, implementing high-quality frontend and backend code, collaborating with cross-functional teams, owning the end-to-end lifecycle of services and features, and applying data-driven approaches. The role also involves safely integrating and operating AI/ML-enabled solutions.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience in software development.
5+ years of professional experience building and operating production software services and full‑stack applications (frontend and backend) within a team environment.
Proven ownership of services or components, including responsibility for design, implementation, quality, deployment, and operational health within a product or domain area.
Proficiency in core software engineering fundamentals, including data structures, algorithms, system design (LLD), API design, and data modeling, with experience applying these in real systems.
Hands-on experience with modern web technologies, frameworks, and service architectures, and familiarity with using AI-driven tools or workflows to enhance developer productivity or product capabilities.

Nice To Haves

Experience designing and evolving multi‑service or multi‑component architectures, including well‑structured APIs, data models, and integration patterns across systems.
Demonstrated track record driving technical improvements at scale, such as performance tuning, resilience hardening, or reliability engineering for high‑traffic services and user interfaces.
Strong focus on operational excellence, including instrumentation, observability, alerting, and participation in on‑call or incident response to improve long‑term service health.
Ability to leverage experimentation, A/B testing, or analytics to make informed technical and product decisions and to validate the impact of delivered features.
Experience integrating or extending AI/ML‑enabled capabilities in applications or services, including responsible use of AI-driven components in full‑stack solutions and guiding teams on effective, safe adoption of AI tooling.

Responsibilities

Design, build, and evolve full‑stack services and customer experiences, including system design (LLD), API design, and data modeling for scalable, secure, and reliable solutions.
Implement high‑quality frontend and backend code, ensuring maintainability, observability, and operational excellence across multiple services and domains.
Collaborate with product, design, and partner engineering teams to translate business and customer requirements into robust technical solutions that can be reused across use cases.
Own and improve the end‑to‑end lifecycle of services and features, including development, automated testing, deployment, monitoring, and incident resolution.
Apply data‑driven approaches to prioritize work, validate hypotheses, and continuously optimize system performance, reliability, and user experience.
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.