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.

The Loyalty Engineering organization powers continuous engagement, re-engagement, and re-acquisition for travelers worldwide. We build the systems that create a durable growth flywheel for Expedia, deepening traveler relationships while driving measurable business impact across brands and markets.

In this role, you will contribute to the technical strategy and architecture for the AI-empowered Loyalty charter - developing and delivering next-generation, intelligent engagement experiences powered by modern AI and agentic systems. You will contribute to system design across multiple distributed engineering teams, partnering closely with Product, Data Science, and platform leaders to build scalable, reliable, and innovative solutions.

In this role, you will:

• Design, build, and evolve full stack services and web experiences for global loyalty products, ensuring high availability, scalability, and performance across multiple customer and partner touchpoints.
• Lead end-to-end system design, including low-level design, API design, and data modeling, to create maintainable, secure, and extensible solutions that align with loyalty platform architecture.
• Own complex features and services across the stack from technical design through implementation, testing, deployment, and operational support, driving high engineering standards and code quality.
• Collaborate with product, design, and cross-functional engineering teams to translate loyalty product requirements into technical solutions, making pragmatic trade-offs using data and customer impact.
• Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including personalization, experimentation, or optimization capabilities within loyalty experiences and services.
• Contribute to best practices, tooling, and engineering processes that enable reuse and fungibility across multiple domains and services within the loyalty ecosystem.

Minimum Qualifications:

• Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience.
• 8+ years of relevant professional experience.
• Professional software development experience building and operating full stack or backend services, including hands-on work with APIs, data models, and web applications.
• Proven experience owning design and implementation for services or features within a multi-service or domain environment, including accountability for quality, reliability, and operational readiness.
• Strong proficiency in at least one modern programming language and associated frameworks, with the ability to design, review, and debug complex, distributed systems.
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.

Preferred Qualifications:

• Experience designing and evolving large-scale, customer-facing platforms using Java, including event-driven and microservice-based architectures, with deep expertise in RESTful API design, data modeling, security, and service reuse across domains.
• Proven ability to drive operational excellence for high-traffic production systems, including observability, incident response, performance tuning, and capacity planning.
• Strong full-stack experience, including modern front-end development with React and integration with scalable back-end services in cloud-native environments.
• Hands-on experience integrating and operating AI/ML-enabled capabilities in production, including use of developer AI tools such as Claude, GitHub Copilot, and Cursor to improve productivity, code quality, personalization, and automation outcomes.
• Familiarity with ad-tech, user targeting, experimentation, and data analytics practices to inform iterative improvement of loyalty or transactional products.

The total cash range for this position in San Jose is $199,000.00 to $278,500.00. Employees in this role have the potential to increase their pay up to $318,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.