Senior Manager, Software Development Engineering

Expedia Group•Seattle, WA

1d•$184,500 - $295,000•Hybrid

About The Position

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. Senior Manager, Software Development Engineering (Fraud & Risk) 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, are passionate about helping people do their best work 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.

Requirements

9+ years of software engineering, with 2+ years in an engineering leadership role.
Strong background in distributed cloud-native engineering at scale (AWS, GCP, or Azure), microservices and API-driven design.
Experience with SQL/NoSQL databases and data streaming/processing technology (Kafka, Flink, Spark).
Prior experience coding in one or more of Java/Scala/Go/Python.
Demonstrable experience guiding teams to achieve excellence in tech operations.
Familiarity with ML-integrated systems, working with Data/ML Science partners to deliver product features.
Passionate about mentorship, coaching and helping engineers with career growth.

Nice To Haves

Proven experience building and operating either fraud and risk systems in production, or other similarly ML/AI heavy systems.
Track record reducing manual operations via automation and platform simplification.
Experience with RAG-based architectures, LLMs and multi-agent applications.

Responsibilities

Own your team’s platform architecture, design and delivery of solutions for automated risk decisioning and remediation.
Hold a high bar for technical operations, establish clear SLOs, observability, and safety/rollback mechanisms for your team’s software.
Lead the integration of Generative and Agentic AI into fraud detection workflows, simplifying and modernizing the platform while reducing time to detect and mitigate attacks.
Advocate for the use of AI in improving engineering processes, productivity and the SDLC.
Partner closely with engineering teams and Data Science/ML Scientists on features, experimentation, monitoring and delivery.
Partner with Product and Operations teams to translate functional requirements into technical specifications.
Build highly productive and ambitious teams while helping engineers reach their career aspirations.