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.

Introduction to team:

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. 

Our team is looking for a Software Development Engineer II for our Tax and Regulatory Platforms. As a member of this team, you will have the opportunity to build and support the Global Tax Platform and Unified Regulatory Platform for the travel industry.

These highly resilient systems must scale to process Expedia Group's entire business transactions in real time, while adapting to ever-changing regulations across global markets. They power complete transaction lifecycles from shopping through booking, invoicing, accounting, filing, reporting, and beyond with financial-grade accuracy and robust audit trails.

This is an opportunity to take a pivotal role in building the travel industry's premier commerce and financial platforms. You will design and implement APIs, data streams, real-time compute, and data lake storage at scale pushing the boundaries of cloud technologies including Kafka, Kubernetes, gRPC, Apache Spark, and Flink.

In this role, you will:

Core Engineering

• Work in small, agile teams to design, develop, test, and maintain scalable and resilient services across the Tax and Regulatory Platform
• Build and operate cloud-native streaming data, real-time processing, and data lake platforms at scale using Kafka, Kubernetes, Apache Spark, and Flink
• Ensure all software meets the highest standards of performance, security, scalability, and financial-grade accuracy
• Review pull requests and lead by example on code quality refactoring for readability, extensibility, and testability
• Leverage CI/CD techniques and tools to maximise delivery speed, reliability, and operational confidence
• Embrace change always open to replacing what you built yesterday with something better today
• Support ever-changing global regulatory requirements by building adaptable, configurable platform components that reduce time-to-compliance in new markets
• Drive observability and reliability across services using DataDog, Splunk, or equivalent tooling ensuring proactive detection and resolution of issues
• Share knowledge, mentor peers, and contribute to a culture of continuous learning including AI fluency across the engineering team

AI & Intelligent Systems  

• Design and integrate AI-powered capabilities into regulatory and financial workflows including intelligent document processing, automated compliance checks, and anomaly detection
• Build and maintain RAG (Retrieval-Augmented Generation) pipelines connecting internal knowledge sources, regulatory datasets, and transaction data to LLM-powered services for accurate, context-aware outputs
• Integrate and manage model inference endpoints into production services, ensuring low latency, high availability, and cost-efficient serving at scale
• Experiment with and adopt AI developer tooling leveraging tools like GitHub Copilot and Claude to accelerate engineering velocity across the team
• Apply responsible AI practices in compliance-sensitive contexts including prompt engineering, hallucination mitigation, output validation, and audit trail requirements
• Collaborate with data science and ML teams to translate model outputs into reliable, production-grade engineering solutions aligned to regulatory standards.

Experience & Qualifications:

• Bachelor's degree in Computer Science or a related technical field, or equivalent professional experience
• 3+ years of relevant professional experience in software engineering
• Java preferred Experienced software developer with strong system design, problem-solving, and object-oriented coding skills
• AWS, Kubernetes/Containerisation, and Apache Spark/Streaming preferredExperience developing in cloud environments 
• Experience delivering and supporting highly available, scalable, and fault-tolerant distributed systems
• Excellent teamwork and communication skills with the ability to collaborate across cross-functional teams
• Proficiency with monitoring and observability tools such as DataDog or Splunk
• Strong experience building and maintaining CI/CD pipelines for rapid, reliable delivery

AI Fluency & Emerging Technologies  

• Foundational understanding of AI/ML concepts and how large language models (LLMs) are applied in production engineering contexts
• Hands-on or working knowledge of Retrieval-Augmented Generation (RAG) patterns including vector stores, embedding models, and knowledge retrieval pipelines
• Familiarity with model inference, including serving frameworks (e.g. TorchServe, TGI, vLLM) and integrating inference endpoints into production services
• Experience or strong interest in AI-powered developer tooling — GitHub Copilot, Claude, or similar and applying them to accelerate engineering workflows
• Awareness of responsible AI practices prompt engineering, hallucination mitigation, and guardrails in regulated or compliance-sensitive environments
• Curiosity to explore how AI capabilities can be embedded into regulatory and financial platforms from intelligent document processing to anomaly detection and automated compliance checks
• Passionate about continuous learning including AI fluency and sharing knowledge with the broader team

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 https://expedia.service-now.com/askeg?id=job_accommodation.

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 https://careers.expediagroup.com/jobs/.

Equal Opportunity