Senior Software Development Engineer

Senior Software Development Engineer (Back-End Heavy Full-stack)

Introduction to the Team

Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

Expedia Group Activities Shopping Experience team is building outstanding experiences for travelers to plan, shop and book activities for their trip. We use personalisation and recommendations to help traveler discover and shop the experiences that suit their travel the most, and help them complete their itinerary. Our team is looking for someone who will drive the innovation and scale of Activities business, by delivering a world-class suite of products & experiences that will delight our travelers, while crafting a working environment where top technical talent will thrive.

Team members in Activities are fully accountable for themselves, their teams, and project delivery in a fast-paced and high-reaching environment. We understand and embody the 'One Team' philosophy and always strive to model the Expedia Group principles. We find creative ways to implement and give equal opportunity from ideas like Agile, Lean, Continuous Delivery and the Scientific Method in many aspects of leadership, management, delivery and operations.

In this role, you will:

• Design, build, and evolve robust, scalable backend services and APIs, including system design (LLD), API contracts, and data models that power end-to-end product experiences across multiple domains.
• Write high-quality, maintainable production code across the stack with a strong emphasis on backend components, ensuring performance, reliability, and security in high-throughput, distributed environments.
• Own the full service lifecycle for the components you build, including implementation, automated testing, deployment, monitoring, incident response, and continuous improvement of service health and operational excellence.
• Collaborate with product, design, and peer engineering teams to translate business and customer requirements into technical solutions, making pragmatic tradeoffs and driving alignment across services and domains.
• 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.
• Provide technical mentorship to other engineers, promoting engineering best practices, code quality, and knowledge sharing to increase team effectiveness and cross-domain fungibility.

Minimum Qualifications:

• Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience.
• 8+ years of relevant professional experience.
• Extensive professional experience as a software development engineer building and operating backend services and APIs, including hands-on work with system design (LLD), API design, and data modeling.
• Proven ownership of one or more services or service areas in a production environment, covering design, implementation, deployment, and ongoing operation within a broader product or domain.
• Experience with front-end technology & frameworks
• Strong proficiency in at least one modern programming language commonly used for backend development, along with experience in service-oriented or microservices architectures, data stores, and automated testing.

Preferred Qualifications:

• Demonstrated experience designing and evolving complex service architectures at scale, including APIs and data models that support multiple products, clients, or domains.
• Track record of driving technical direction for backend-heavy systems, including making architecture decisions, introducing new patterns or frameworks, and leading cross-team design reviews.
• Experience building highly observable, resilient services with strong operational practices, including metrics, logging, alerting, incident management, and continuous improvement of reliability and performance.
• Safely integrates and operates AI/ML‑enabled solutions that improve outcomes, such as incorporating model-driven features, experimentation, or intelligent routing into backend services while managing risk and quality.
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including leveraging AI-assisted development or platform capabilities to increase engineering velocity and code quality.