Senior Software Development Engineer

Expedia; Washington; Presencial; USD 180.000 - 240.000; Jornada completa

Descripción de la vacante

Expedia Group is seeking an experienced Senior Backend Engineer to design, build, and operate scalable backend services that power lodging and travel experiences. You will craft API-first architectures, model data flows, and ensure secure, maintainable systems.

This AI-forward team develops LLM-powered features and tool integrations with attention to latency, cost, and reliability. You will drive responsible AI adoption, implement automated testing and observability, and collaborate with

Formación

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 8+ years of professional experience building and operating production backend services in a team environment.
• Demonstrated ownership of services or features across design, implementation, quality, deployment, and operational support.
• Strong software engineering fundamentals: data structures, algorithms, system design (LLD), API design, and data modeling, applied in production systems.
• Hands-on, demonstrable proficiency with AI-assisted development: you can describe specific workflows where AI tools measurably improved your speed or quality, and where they failed and how you caught it.
• Hands-on experience integrating AI/ML or LLM capabilities into a production system (for example, calling model APIs, building tool or agent integrations, or operating ML-backed services).

Responsabilidades

• Design, build, and evolve reliable backend services, including system design (LLD), API design, and data modeling for scalable, secure, and maintainable solutions.
• Use AI coding assistants and agentic workflows as part of your daily engineering practice (design exploration, code generation, test authoring, refactoring, code review, debugging, and incident triage), and critically validate the output for correctness, security, and maintainability.
• Design and ship AI/ML-enabled capabilities in backend services, such as LLM-powered features, agent and tool integrations, and retrieval or automation workflows, with attention to latency, cost, quality evaluation, and failure modes.
• Define and promote team practices for responsible AI adoption: prompt and context management, evaluation and guardrails, data privacy, and compliance with EG security policies.
• Implement high-quality production code with an emphasis on automated testing, observability, performance, and operational excellence.
• Collaborate with product, design, and partner engineering teams to translate customer and business requirements into robust backend solutions, reusable service integrations, and well-structured data flows.
• Own the end-to-end lifecycle of services and features: development, testing, deployment, monitoring, troubleshooting, and incident resolution.
• Use data, metrics, experimentation, and analytics to prioritize work, validate hypotheses, and measure the impact of both product changes and AI-driven improvements to engineering productivity.
• Mentor engineers on effective, safe use of AI tooling and raise the team's overall velocity and quality.

Conocimientos

Backend development

System design

API design

Data modeling

Ownership mindset

Mentoring

AI tooling

Educación

Bachelor's degree in CS or related field

Herramientas

AI/ML tooling

LLM APIs

Descripción del empleo

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 that 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.

Lodging Connectivity is the API- and software-driven backbone of our supply business, simplifying connectivity across lodging products through external-facing APIs and platforms that enable partners to acquire, optimize, and maintain lodging supply. We are an AI-forward team: we use AI across how we design, build, test, and operate software, and we are building AI-enabled capabilities into our services. In this role, you will deliver traveler, partner, and company value with stable architecture, high quality, and operational excellence, and you will help set the bar for how our team uses AI responsibly and effectively.

In this role, you will:

• Design, build, and evolve reliable backend services, including system design (LLD), API design, and data modeling for scalable, secure, and maintainable solutions.
• Use AI coding assistants and agentic workflows as part of your daily engineering practice (design exploration, code generation, test authoring, refactoring, code review, debugging, and incident triage), and critically validate the output for correctness, security, and maintainability.
• Design and ship AI/ML-enabled capabilities in backend services, such as LLM-powered features, agent and tool integrations, and retrieval or automation workflows, with attention to latency, cost, quality evaluation, and failure modes.
• Define and promote team practices for responsible AI adoption: prompt and context management, evaluation and guardrails, data privacy, and compliance with EG security policies.
• Implement high-quality production code with an emphasis on automated testing, observability, performance, and operational excellence.
• Collaborate with product, design, and partner engineering teams to translate customer and business requirements into robust backend solutions, reusable service integrations, and well-structured data flows.
• Own the end-to-end lifecycle of services and features: development, testing, deployment, monitoring, troubleshooting, and incident resolution.
• Use data, metrics, experimentation, and analytics to prioritize work, validate hypotheses, and measure the impact of both product changes and AI-driven improvements to engineering productivity.
• Mentor engineers on effective, safe use of AI tooling and raise the team's overall velocity and quality.

Minimum Qualifications :

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 8+ years of professional experience building and operating production backend services in a team environment.
• Demonstrated ownership of services or features across design, implementation, quality, deployment, and operational support.
• Strong software engineering fundamentals: data structures, algorithms, system design (LLD), API design, and data modeling, applied in production systems.
• Hands-on, demonstrable proficiency with AI-assisted development: you can describe specific workflows where AI tools measurably improved your speed or quality, and where they failed and how you caught it.
• Hands-on experience integrating AI/ML or LLM capabilities into a production system (for example, calling model APIs, building tool or agent integrations, or operating ML-backed services).

Preferred Qualifications :

• Experience designing and evolving multi-service backend architectures with well-structured APIs, data models, and reliable data flows.
• Demonstrated success improving high-traffic or customer-facing systems through performance tuning, resilience hardening, and reliability engineering.
• Strong operational excellence: instrumentation, logging, metrics, alerting, on-call participation, and incident response.
• Experience with experimentation, feature flags, A/B testing, and analytics to guide technical and product decisions.
• Experience with LLM application patterns (RAG, tool calling/MCP, agent orchestration), evaluation framewo