Software Development Engineer III

Expedia Expedia · Hospitality · Seattle, WA

Software Development Engineer III role at Expedia focused on building and maintaining scalable, low-latency systems and intelligent ad experiences for Expedia Group's advertising platform. The role involves designing, implementing, and operating services that support the full advertising lifecycle, including integrating and operating AI/ML-enabled solutions to improve outcomes and drive business growth. Requires strong software engineering fundamentals, experience with full-stack development, and familiarity with AI/ML concepts applied to real-world products.

What you'd actually do

  1. Design, implement, and maintain robust, secure, and scalable services and applications, including system design (LLD), API design, and data modeling to support business-critical capabilities across multiple domains.
  2. Write clean, reliable, and well-tested code, applying sound engineering principles, design patterns, and code review practices to improve quality, performance, and maintainability for complex systems.
  3. Own end-to-end delivery of features and services, from technical design and implementation through deployment, monitoring, and iteration, ensuring high availability and operational excellence.
  4. Diagnose and resolve complex production issues, perform root cause analysis, and drive long-term improvements in reliability, observability, and resilience across services and dependencies.
  5. Collaborate with cross-functional partners, contributing technical expertise to product discovery, backlog prioritization, and data-driven decision making while ensuring solutions are reusable and fungible across multiple domains.
  6. 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.
  • 5+ years of relevant professional experience.
  • Professional software development experience building and maintaining services or applications, with ownership of features or services in production environments.
  • Proficiency in at least one modern programming language and core computer science fundamentals (data structures, algorithms, design, and problem solving), including experience with system design (LLD), API design, and data modeling.
  • Experience owning the full software development lifecycle for services or applications, including design, implementation, code reviews, testing, deployment, and monitoring, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products at a foundational level.

Nice to have

  • Proficiency with Kotlin or other JVM-based languages (for example, Java), with experience building scalable, production-grade backend systems using microservices and event-driven architectures.
  • Experience building or operating ad servers, ad bidders, ad selection or ranking systems, campaign delivery systems, or other ad tech / programmatic advertising platforms, or similarly complex recommendation or ML-driven decisioning systems at scale.
  • Experience designing and operating high-throughput, low-latency distributed services in production, with strong focus on observability, reliability, and performance optimization.
  • Hands-on experience with AWS, ideally including serverless patterns and infrastructure-as-code tools such as CloudFormation.
  • Experience with modern software delivery practices, including containerized deployments (for example, Docker and Kubernetes), CI/CD pipelines, and test automation.
  • Demonstrated ability to collaborate with Data Scientists and apply AI/ML in real-world systems, including integrating models into production services or developing new data-driven features that improve relevance, personalization, or operational outcomes.
  • Strong communication and collaboration skills, including experience mentoring junior engineers, leading small technical projects, and influencing technical decisions and engineering best practices within a team.

What the JD emphasized

  • AI/ML-enabled solutions
  • AI/ML concepts to real world products
  • ML-driven relevance
  • ad retrieval, bidding, ranking, delivery, reporting, and measurement

Other signals

  • AI/ML-enabled solutions
  • AI/ML concepts to real world products
  • ML-driven relevance
  • ad retrieval, bidding, ranking, delivery, reporting, and measurement