Senior Software Development Engineer, Full Stack

Expedia•Seattle, WA

1d•Hybrid

About The Position

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. We’re looking for a Senior Software Engineer (Full-stack) to join a team focused on the Identity web and mobile app experience - the UI surfaces and front-end systems behind login, sign-up, account management, and cross-brand navigation. You’ll join a team of talented frontend and full-stack engineers, set a high bar for UX, performance, accessibility, and reliability, and work closely with product, design, and backend/platform partners. You will combine architecture, engineering quality, system design and connect the team’s work to business and traveler outcomes in line with EG’s values.

Requirements

Bachelor’s degree in Computer Science or a related technical field, or equivalent professional experience.
10+ years of professional software engineering experience.
Experience building and operating production services or applications, with clear ownership of features or systems.
Proficiency in at least one modern programming language and strong fundamentals in data structures, algorithms, system design, and problem solving.
Strong experience with GraphQL, including schema design, evolution, and client consumption.
Experience owning the full software development lifecycle, including design, implementation, code reviews, testing, deployment, and monitoring.
Full‑stack experience using JavaScript, TypeScript, React, Java or Kotlin, and GraphQL.
Experience maintaining production systems, including debugging, monitoring, and operational support.
Experience designing APIs and building user-facing applications consumed across teams or business units.
Understanding of testing, observability, and monitoring tools (e.g., unit/integration testing frameworks, logging, metrics, alerting).
Familiarity with AI‑assisted development tools and workflows.

Nice To Haves

Ability to evaluate and select technologies while understanding trade‑offs between platforms and architectures.
Experience working on consumer facing e-commerce applications within Identity and Access Management domain.
Developing mobile and cross-platform identity experiences (web plus native apps) like deep linking, cross-device login, SSO, and account linking.
Experience integrating and operating AI- or ML-enabled solutions in the product or development lifecycle (for example, AI-assisted testing, content, or personalization) with appropriate safeguards.
Experience leading technical direction, and driving architecture decisions for distributed systems at scale.
Deep understanding of app architecture patterns
Track record of improving operational excellence through observability, performance optimization, and resilient design for high-traffic, customer-facing applications.

Responsibilities

Design, implement, and maintain robust, secure, and scalable services and applications, including low‑level system design (LLD), API design, and data modeling, to support business‑critical identity capabilities.
Build scalable, reusable, and component-driven web UI architectures using modern frameworks (React, Node.js, JavaScript/TypeScript), integrating seamlessly with GraphQL APIs.
Design, evolve, and maintain GraphQL schemas, and consume those schemas across web and mobile clients to support login, profile, and account experiences.
Write clean, reliable, and well‑tested code using sound engineering principles, design patterns, and rigorous code review practices.
Own end‑to‑end delivery of features and services, from technical design through deployment, monitoring, and iteration, ensuring high availability and operational excellence.
Diagnose and resolve complex production issues, perform root‑cause analysis, and drive long‑term improvements in reliability, observability, and resilience.
Collaborate closely with product, design, and partner engineering teams, contributing to discovery, backlog prioritization, and data‑driven decisions while ensuring solutions are reusable across domains.
Apply AI‑enabled tools and workflows responsibly to improve development efficiency, reliability, and engineering outcomes.