Join Expedia Group as a Software Development Engineer III to design, build, and operate the backend platform services that power real-time fraud detection, automated remediation, and investigation workflows across our marketplace. This hands-on engineering role focuses on creating reliable distributed systems while integrating modern AI capabilities.
What You'll Do
- Design, develop, deploy, and maintain backend services with clear latency 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, such as LLM-based reasoning and evidence summarization, 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.
What We're Looking For
- 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.
Nice to Have
- 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 LangChain, LangGraph, or Model Context Protocol (MCP).
- 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.
Technical Stack
- Languages: Java, Python, Scala, Go
- Cloud: AWS, GCP, Azure
- Data: SQL/NoSQL databases, Kafka
- AI Frameworks: LangChain, LangGraph, Model Context Protocol (MCP)
Benefits & Compensation
- Travel perks
- Generous time-off
- Parental leave
- Flexible work model
- Career development resources
Work Mode
This role offers a hybrid work model.
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.
