Software Development Engineer II

Expedia Group•Seattle, WA

4d•$119,000 - $190,500•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. Software Development Engineer II This Software Development Engineer II position is with the SFIS (Salesforce Integration Services) team. SFIS builds and runs the high-scale integration, data, and middleware platform that connects Salesforce and the rest of Expedia Group. Our services keep partner and sales workflows fast, reliable, and insight-driven. We leverage the latest technologies, including open source solutions, and operate largely within AWS. We value and exude integrity, ownership, collaboration, growth, and having fun In this role, you will design, build, and support systems end-to-end. You will work closely across teams, levels, and disciplines. As an SDE II, you will own features end-to-end, contribute to technical design, and help raise the bar for engineering quality through rigorous testing, observability, and operational excellence.

Requirements

Bachelor's degree in Computer Science or a related technical field; or equivalent 2+ years of related professional experience
Hands-on experience designing and implementing system components, including APIs, low-level design, and data modeling for single or multi-service ownership.
Proficiency in at least one modern programming language and associated frameworks, with solid understanding of data structures, algorithms, debugging, and unit/integration testing.
Experience contributing to the operational lifecycle of services (monitoring, alerting, deployment pipelines, and incident handling) within a team setting.

Nice To Haves

Full-stack engineer with proficiency in Python, JavaScript, and React.
Proficiency with LLM-powered applications, agentic workflows, or conversational AI systems — including prompt design, tool integration, or orchestration frameworks.
Experience maintaining and operating at least four software projects or products in production environments, including bug fixing, troubleshooting, monitoring, and operational support within defined SLAs.
Experience selecting technologies to solve business problems and understanding trade‑offs between languages and platforms.
Experience creating APIs consumed across teams or business units.
Solid understanding of how projects and teams interact with other teams and align to business needs.
Experience with AI-enabled software development workflows, including use of AI coding assistants and automated testing tools.

Responsibilities

Design, implement, and maintain robust, secure, and scalable services and applications, including system design, API design, and data modeling to support business-critical capabilities across multiple domains.
Write clean, reliable, and well-tested code, applying sound engineering principles, design patterns, and code review practices to improve quality, performance, and maintainability for complex systems.
Own end-to-end delivery of features and services, from technical design and implementation through deployment, monitoring, and iteration, ensuring high availability and operational excellence.
Diagnose and resolve complex production issues, perform root cause analysis, and drive long-term improvements in reliability, observability, and resilience across services and dependencies.
Collaborate with cross-functional partners, contributing technical expertise to product discovery, backlog prioritization, and data-driven decision making while ensuring solutions are reusable and fungible across multiple domains.
Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.