Senior Software Development Engineer

Expedia•Seattle, WA

About The Position

The Senior Software Development Engineer is part of Expedia Group’s BEX Product team within the Technology division. The team delivers end-to-end Brand Expedia experiences across Home, Attach, and Trip Management, with a focus on differentiated lodging experiences and supporting travelers, particularly families and One Key members. In this role, you will design, develop, and maintain high-quality software solutions that support travel growth and enhance user experiences. You will build and evolve full-stack products and services, contribute to system and API design, data modeling, user interfaces, and technical implementation, and deliver resilient integrations across the Trips Experience domain. You will own features and services throughout their lifecycle, from technical design and implementation through testing, deployment, monitoring, troubleshooting, and continuous improvement. You will collaborate with product managers, designers, data partners, and engineers across Brand Expedia; lead technical discussions and design reviews; and help establish practical engineering standards. The role also focuses on operational excellence, reliability, experimentation, and measurable product outcomes. You will contribute to engineering culture through code reviews, documentation, knowledge sharing, mentoring, and inclusive collaboration, and use AI-assisted engineering tools responsibly while validating their output for quality, security, privacy, and maintainability.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent related professional experience.
At least 8 years of professional software development experience building and operating production software in a team environment, including full-stack or comparable end-to-end product engineering experience.
Strong proficiency in at least one modern programming language and hands-on experience with both backend service development and modern web application development.
Demonstrated ownership of services or product features across system design, implementation, automated testing, deployment, monitoring, and operational support.
Strong software engineering fundamentals, including data structures, algorithms, system design, API design, data modeling, distributed systems, and software quality practices.

Nice To Haves

Experience designing and evolving multi-service, full-stack architectures with well-structured APIs, reusable components, reliable data flows, and clear integration boundaries.
Demonstrated success improving customer-facing or high-traffic systems through performance tuning, resilience engineering, accessibility improvements, and reliability hardening.
Strong operational-excellence practices, including instrumentation, logging, metrics, alerting, SLOs, on-call participation, incident response, and post-incident analysis.
Experience with experimentation, feature flags, A/B testing, product analytics, or other data-informed methods for guiding technical and product decisions.
Experience applying AI/ML capabilities or AI-assisted development workflows responsibly, including evaluation, privacy and security considerations, guardrails, and measurement of quality or productivity impact.

Responsibilities

Design, build, and evolve full-stack products and services, contributing to system design, API design, data modeling, user interfaces, and technical implementation.
Develop production software with attention to maintainability, performance, accessibility, security, and automated testing.
Translate customer, product, and design requirements into traveler experiences and resilient service integrations across the Trips Experience domain.
Own features and services through technical design, implementation, testing, deployment, monitoring, troubleshooting, and continuous improvement.
Collaborate with product managers, designers, data partners, and engineers to clarify problems, evaluate trade-offs, and deliver measurable outcomes.
Lead technical discussions and design reviews, establish practical engineering standards, and make decisions in ambiguous or evolving problem spaces.
Improve reliability and operational excellence through observability, performance tuning, automation, incident response, and post-incident learning.
Use experimentation, product analytics, and operational metrics to validate hypotheses, prioritize work, and measure impact.
Contribute to engineering excellence through code reviews, documentation, knowledge sharing, mentoring, and inclusive collaboration.
Use AI-assisted engineering tools responsibly to support design exploration, implementation, testing, debugging, and operational work, validating output for quality, security, privacy, and maintainability.