Sr Software Engineer

Expedia Expedia · Hospitality · Seattle, WA

Senior Software Development Engineer for Expedia Group's Distribution and Supply organization, focusing on building and scaling core systems for the global travel marketplace. The role involves designing and operating highly available, low-latency distributed systems for pricing and marketplace infrastructure, with a requirement to safely integrate and operate AI/ML-enabled solutions.

What you'd actually do

  1. Design, build, and own high-quality, scalable, and resilient software services and components, including system design (low-level design), API design, and data modeling aligned to Expedia Group engineering standards.
  2. Lead end-to-end implementation of complex features and services across the full software development lifecycle, from technical design and coding through testing, deployment, and ongoing operational support.
  3. Drive technical direction within your team by evaluating trade-offs, making data-informed decisions, and setting engineering best practices for code quality, observability, testing, and performance.
  4. Collaborate closely with product, design, and partner engineering teams across multiple domains to deliver integrated solutions that meet functional, reliability, and scalability requirements.
  5. 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.

Skills

Required

  • Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.
  • 8+ years of relevant professional experience.
  • Demonstrated ownership of one or more services or components, including responsibility for technical design, implementation, quality, and operational health.
  • Proficiency in system design (LLD), API design, and data modeling, with the ability to design for scalability, reliability, and maintainability.
  • Experience with service-oriented or microservices architectures, including automated testing, continuous integration/continuous delivery (CI/CD), and production monitoring practices.

Nice to have

  • Experience designing and evolving large-scale, distributed systems or high-traffic services, including performance tuning, capacity planning, and resilience engineering.
  • Track record of providing technical leadership within a team, including reviewing designs and code, mentoring other engineers, and influencing engineering best practices across services or domains.
  • Deep experience with observability and operational excellence, including metrics, logging, alerting, incident response, and post-incident analysis to drive long-term improvements.
  • Hands-on experience integrating AI/ML‑enabled features or services safely into production systems, including working with AI/ML platforms, SDKs, or APIs and managing associated risks such as quality, security, and misuse.
  • Familiarity with AI-driven systems, tools, or workflows for accelerating development (such as code generation, intelligent testing, or operational insights), and applying these responsibly to improve engineering productivity and product outcomes.

What the JD emphasized

  • Safely integrate and operate AI/ML‑enabled solutions
  • familiarity with AI-driven systems, tools, or workflows
  • applying AI/ML concepts to real world products
  • Hands-on experience integrating AI/ML‑enabled features or services safely into production systems
  • working with AI/ML platforms, SDKs, or APIs
  • managing associated risks such as quality, security, and misuse
  • Familiarity with AI-driven systems, tools, or workflows for accelerating development
  • applying these responsibly to improve engineering productivity and product outcomes