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 :

As a Software Development Engineer III, you will design, build, and operate backend platform services that power real-time fraud detection, automated remediation, and investigation workflows across the Expedia marketplace.This is a hands-on engineering role focused on building reliable distributed systems while integrating modern AI capabilities into fraud detection and operational workflows. The ideal candidate combines strong backend engineering fundamentals with experience building and deploying AI-powered systems in production environments.

In this role you will:

• Design, develop, deploy, and maintain backend services with clear latency, reliability, and reliability requirements.

• Build scalable distributed systems supporting real-time fraud detection, investigation, and automated remediation workflows.

• Develop and productionize ML-powered components with Data Science teams, including feature pipelines, online inference, experimentation, and monitoring.

• Apply Generative AI techniques (e.g., LLM-based reasoning, evidence summarization, automated investigation workflows) to improve detection speed and operational efficiency.

• Own delivery of projects end-to-end, including design, implementation, testing, deployment, and operational support.

• Modernize platform architecture using microservices, streaming/data pipelines, CI/CD automation, and configuration-driven controls.

• Ensure AI-enabled systems are observable, testable, explainable, and safe with appropriate guardrails and fallback mechanisms.

• Mentor junior engineers through design discussions, code reviews, and technical guidance.

• Collaborate with engineering, product, operations, and security teams to deliver measurable improvements in fraud prevention.

Minimum Qualifications:

• 5+ years of software engineering experience with a Bachelor’s degree, or 3+ years with a Master’s degree in Computer Science or a related field.

• Strong experience building and operating distributed backend systems in production environments.

• Proficiency in one or more backend languages such as Java, Python, Scala, or Go, with experience building APIs and microservices.

• Experience developing cloud-native applications on AWS, GCP, or Azure.

• Experience working with data systems such as SQL/NoSQL databases, streaming platforms (e.g., Kafka), or data platforms.

• Hands-on experience integrating ML or AI capabilities into production systems, such as model inference services, feature pipelines, or decisioning workflows.

• Experience deploying AI/ML systems in production where model outputs influence product behavior, automated decisions, or operational workflows.

• Strong understanding of software engineering fundamentals including system design, testing strategies, and maintainable architecture.

Preferred Qualifications:

• Experience building LLM-powered applications or Generative AI systems in production.

• Hands-on experience with RAG architectures, vector databases, and retrieval pipelines.

• Experience building agentic workflows or AI orchestration systems using frameworks such as Lang Chain, Lang Graph, Model Context Protocol (MCP), or similar frameworks.

• Experience designing end-to-end AI application architectures, including retrieval pipelines, model orchestration, evaluation frameworks, and production monitoring.

• Experience working on real-time decisioning systems, such as fraud detection, risk scoring, or recommendation platforms.

• Experience mentoring engineers and contributing to system design discussions.

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®, Cheap Tickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, Car Rentals.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.