Senior Software Development Engineer, Full Stack

Expedia Expedia · Hospitality · Seattle, WA

Senior Full-Stack Software Engineer for Expedia Group, focusing on the Identity web and mobile app experience. The role involves designing, implementing, and maintaining robust services and applications, building scalable UI architectures, managing GraphQL schemas, and ensuring end-to-end feature delivery. The engineer will collaborate with product and design teams, diagnose production issues, and apply AI-enabled tools to enhance development efficiency. Requires strong software engineering fundamentals, experience with GraphQL, and full-stack development.

What you'd actually do

  1. 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.
  2. Build scalable, reusable, and component-driven web UI architectures using modern frameworks (React, Node.js, JavaScript/TypeScript), integrating seamlessly with GraphQL APIs.
  3. Design, evolve, and maintain GraphQL schemas, and consume those schemas across web and mobile clients to support login, profile, and account experiences.
  4. Write clean, reliable, and well‑tested code using sound engineering principles, design patterns, and rigorous code review practices.
  5. Own end‑to‑end delivery of features and services, from technical design through deployment, monitoring, and iteration, ensuring high availability and operational excellence.

Skills

Required

  • 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 have

  • 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

What the JD emphasized

  • 10 years of professional software engineering experience
  • Experience building and operating production services or applications, with clear ownership of features or systems
  • 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
  • Experience integrating and operating AI- or ML-enabled solutions in the product or development lifecycle