Software Development Engineer III
Expedia
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Introduction to team
Enterprise Data Platform (EDP) is the Data and AI arm of Expedia Group. We bring Expedia Group’s innovative technology and distributed data sources under one platform and create data product solutions to partners across the world. We're constantly looking for opportunities to improve the breadth and depth of the products we offer. From a strategic standpoint, our ambition is to unlock the power of Expedia for partners through our data products. Our mission is to fuel our partners’ growth through our unparalleled technology, travel supply and support services. We are about travel, but also about state-of-the-art technology, AI and ML. Data is our underlying foundation, and the only way to operate at our immense scale is to develop our own technologies and use cloud capabilities on positive and exciting test and learn environment.
In this role, you will:
Design, develop, and operate scalable distributed systems and services that power high-availability, high-throughput customer experiences.
Own end-to-end delivery of features—from technical and low-level system design through implementation, deployment, and production monitoring.
Drive system and API architecture discussions, ensuring scalability, reliability, observability, performance, and cost efficiency across microservices and event-driven workflows.
Build and integrate AI-powered capabilities (for example, personalization, recommendation, intelligent automation) into production services, safely integrating and operating AI/ML-enabled solutions that improve outcomes.
Collaborate with cross-functional teams and lead code reviews to translate business and ML use cases into robust technical solutions while mentoring junior engineers.
Debug and resolve complex production issues, perform root cause analysis, and continuously improve system performance and overall developer productivity.
Minimum Qualifications:
Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.
5+ years of relevant professional experience.
Strong proficiency in one or more modern programming languages (such as Java, Scala, Kotlin), with solid understanding of data structures, algorithms, API design, distributed system design, and strong problem-solving skills in ambiguous environments.
Hands-on experience building and operating distributed, event-driven services at scale (for example, Kafka or Pub/Sub) with RESTful or microservices architectures, using both SQL and NoSQL datastores (for example, MySQL, PostgreSQL, DynamoDB, Cassandra).
Experience integrating ML models into production systems, with familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including ML frameworks (for example, TensorFlow, PyTorch, Scikit-learn), the ML lifecycle (training, deployment, monitoring), and exposure to LLM-based applications and ecosystems.
Preferred Qualifications:
Experience with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, and exposure to CI/CD pipelines and infrastructure as code.
Familiarity with containerization and orchestration (Docker, Kubernetes) and observability tools for monitoring, logging, and alerting.
Hands-on experience building or integrating large-scale recommendation or personalization systems, including understanding of prompt engineering, embeddings, and vector databases for LLM-powered applications.
Demonstrated experience mentoring engineers and driving technical initiatives that improve code quality, reliability, and performance across teams.
Proven track record of designing, delivering, and iterating on AI/ML-powered backend services at scale, balancing rapid experimentation with responsible use, governance, and operational excellence.
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.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.