Senior Software Development Engineer

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 the Team:

Expedia Technology teams partner with our Product teams 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.

The Senior Software Developer role is part of the GenAI Platform team. The GenAI Platform team builds and operates Expedia Group’s shared generative AI platform - tooling, services, and guardrails - that enable product and ML teams to safely experiment with, deploy, and scale GenAI-powered experiences across our brands. You will lead the design, delivery, and evolution of scalable GenAI services and multi-agent infrastructure that power secure, observable GenAI capabilities across Expedia Group. By shaping multi-agent platform architecture, codifying guardrails and best practices, and partnering closely with product and domain engineering teams, you will accelerate how internal teams build, integrate, and safely operate AI-enabled experiences for travelers and partners at global scale.

In this role, you will:

• Drive end-to-end system design, including low-level design (LLD), API contracts, and data modeling, aligned with Expedia’s architectural standards, engineering best practices, and long-term technical vision.

• Collaborate across geographically distributed teams, bringing clarity to technical decisions, ownership, and dependencies. Partner with use-case teams to understand their requirements and support adoption of platform capabilities.

• Own delivery from design through implementation, release, and production operations, ensuring high engineering quality through testing, security, observability, and operational readiness. Define and track metrics for reliability, performance, adoption, and operating cost.

• Build with a platform mindset, creating reusable, extensible, and self-service capabilities rather than one-off solutions. Balance consistent interfaces and sensible defaults with flexibility for workload-specific needs.

• Partner with the AI Registry team to define and implement grading standards for AI assets, including AI agents, MCP servers, and skills, with clear criteria for quality, safety, reliability, and production readiness.

• Work closely with the LLM Inference team to design and deliver intelligent routing patterns, open-weight model deployments, and fine-tuning pipelines, balancing model quality, latency, reliability, and cost.

Minimum Qualifications:

• Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.

• 8+ years of relevant professional experience, including building and operating backend services and APIs with end-to-end ownership from design through deployment and ongoing operational support.

• Proven proficiency in Python and experience developing production-grade web services using FastAPI or similar modern frameworks (such as Flask, Django, or other async service frameworks), with solid understanding of system design, API design, and data modeling.

• Experience building and running backend APIs in public or hybrid cloud environments, with hands-on exposure to core cloud services (AWS preferred) and at least one data store technology (relational, NoSQL, or search), such as Aurora PostgreSQL or Elasticsearch.

• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including exposure to LLM-powered capabilities, embeddings, or RAG patterns, or demonstr