Senior Manager, Software Development Engineering: Lodging Booking Platform

About the role

The Lodging Booking Platform Technology team is part of the Book-to-Trip Technology Division . The Lodging Reservations team is responsible for making hotel and vacation rental reservations originating from all Expedia Group points of sale. Our platform is built on a microservices architecture and runs in the cloud leveraging Amazon Web Services (AWS) . This role will contribute to a key initiative to make the booking platform easily extensible for other lines of business, building a highly scalable and resilient system that sits at the center of Expedia Group's Lodging business P&L. The Lodging business generates over 60% of Expedia's revenue , and being part of the Lodging Reservations team means you make a direct contribution to the bottom line. Every lodging booking across all Expedia points of sale and subsidiaries is orchestrated by our systems, and we cater to supplier needs for the fulfillment of these bookings. The Senior Manager, Software Development Engineering will lead the Lodging Booking Platform team in Austin, driving the architecture and delivery of scalable, cloud-native reservation systems that are critical to Expedia Group's business revenue. This role partners closely with product and engineering stakeholders to evolve microservices, improve engineering practices, and deliver resilient, extensible solutions. You will provide hands-on technical leadership, coach and develop team members, and contribute across the full software development lifecycle. Success in this role requires deep experience in distributed systems , AWS-based platforms , and high-volume transactional environments . In this role, you will: Lead multiple software engineering teams building and evolving services and platforms that power the Lodging Booking Platform, ensuring reliability, scalability, and high performance across global traffic patterns. Define, communicate, and drive a clear technical vision and roadmap for lodging booking services, including system design, API design, and data modeling aligned with product and architecture strategies. Establish and enforce engineering best practices for design, coding, testing, observability, security, and operational readiness, while continuously improving build, deployment, and release processes. Partner closely with product, architecture, and other platform and feature teams to deliver cross-domain initiatives, enabling reuse and fungibility of services and capabilities across multiple lines of business. Build, mentor, and grow a diverse, high-performing engineering organization through coaching, performance management, and effective hiring, while fostering a culture of innovation, accountability, and psychological safety. 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.