Software Development Engineer II

Software Development Engineer II At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five behaviors—Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together—help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Our Technology Team partners with teams across Expedia Group 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. At Expedia Group Fraud & Risk (EFR), we are the guardians of marketplace trust. We protect EG from financial loss and brand damage, securing every channel for our customers, partners, suppliers, and employees. Our world-class engineering and machine learning turn massive, noisy signals into real-time decisions that minimize risk while keeping traveler friction low. What makes this work unique: in travel, risk doesn't stop at checkout, it spans the entire journey. The global ecosystem is vast and fragmented, control points are scarce, and every leg introduces new unknowns. Our mission is bold: deliver a fully trusted journey from purchase to safe return home. That's hard and exactly why science and technology matter most. If you're energized by complex, high-impact problems with no obvious answers, and want to shape the future of risk with AI on a global scale, join us. Let's redefine how the world travels, safely, confidently, and at speed. Help develop real-time, AI-powered fraud and abuse defenses on a global scale. You will build cloud-native decisioning and automated remediation systems, simplify our platform, and be a part of our journey to become an AI-first technology organization. In this role, you will: Develop software modules for automated risk decisioning and remediation at scale. Benchmark various vendor, open source and in-house solutions for performance, cost and risk posture. Partner closely with Data and ML Scientists on features, experimentation, and monitoring of models. Partner closely with other engineering teams on the delivery of business outcomes through code. Integrate AI solutions into our technology platform, building from scratch where applicable. Engage in efforts to improve technical operations and processes of the team through automation. Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience. At least 1 year of professional software engineering experience, with strong coding skills in JVM-based languages (Java or Scala) and experience applying object-oriented design principles. Familiarity with distributed cloud-native engineering (AWS, GCP, or Azure), microservices, API development, SQL/NoSQL databases. Some knowledge of streaming and data processing frameworks such as Kafka, Flink and Spark. Experience in monitoring and debugging production-grade software. Ability to communicate technical concepts clearly to stakeholders with or without a technical background. Preferred Qualifications: Some experience working with a variety of stakeholders: Product, Program, Data, ML Science and Quality control. Curiosity and a strong desire to learn, innovate and unlock the potential of modern AI-based productivity tools. Hands-on experience using AI coding assistants and agents (e.g., Claude Code, Cursor, GitHub Copilot, or equivalent) to ship production software faster Experience working with LLMs, among other Gen AI solutions. Domain experience in risk and fraud within Marketplace, travel and e-commerce. The total cash range for this position in Seattle is $119,000.00 to $166,500.00. Employees in this role have the potential to increase their pay up to $190,500.00, 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 offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at About Expedia Group Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. Important notice Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is Equal Opportunity 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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization. Expedia Group