Software Development Engineer II - Backend-Focused Full-Stack

Expedia•Seattle, WA

19h•$119,000 - $190,500•Hybrid

About The Position

As a Full Stack Software Development Engineer II on EG Advertising, you will help build the platform at the center of Expedia Group's advertising growth strategy. You will contribute to scalable, low-latency systems and intelligent ad experiences that expand inventory, improve relevance, and help EG Advertising achieve ambitious revenue goals across onsite, partner, and off-platform channels. You will work on systems that support the advertising lifecycle, including partner-facing tools, campaign management, ad retrieval, bidding, ranking, delivery, reporting, and measurement.

Requirements

Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience.
2+ years of professional software development experience building and maintaining services or applications in production environments.
Proficiency with Kotlin or Java, with experience building backend systems using microservices and event-driven architectures.
Experience with the software development lifecycle for services or applications, including design, implementation, code reviews, testing, deployment, and monitoring.

Nice To Haves

Experience building full-stack applications, including modern frontend development, backend services, APIs, and data flows.
Experience with ad servers, ad bidders, ad selection or ranking systems, campaign delivery systems, programmatic advertising platforms, or similarly complex recommendation or ML-driven decisioning systems.
Experience designing, operating, or supporting distributed services in production, with attention to observability, reliability, and performance optimization.
Experience with AWS, serverless patterns, or infrastructure-as-code tools such as CloudFormation.
Experience with containerized deployments (for example, Docker and Kubernetes), CI/CD pipelines, and test automation.
Experience collaborating with Data Scientists or integrating data-driven features into production services to improve relevance, personalization, or operational outcomes.
Strong communication and collaboration skills, including experience leading small technical projects and contributing to engineering best practices within a team.

Responsibilities

Design, implement, test, and maintain secure, scalable services and applications, contributing to low-level design, API design, and data modeling for business-critical capabilities.
Write clean, reliable, and well-tested code, applying sound engineering principles, design patterns, and code review practices to improve quality, performance, and maintainability.
Own well-defined features through technical design, implementation, deployment, monitoring, and iteration, with support from senior engineers on broader architectural decisions.
Diagnose and resolve production issues, participate in root cause analysis, and contribute to improvements in reliability, observability, and resilience.
Collaborate with product, data science, and engineering partners to refine requirements, make data-informed technical decisions, and deliver reusable solutions.
Contribute to the safe integration and operation of AI/ML- enabled capabilities, applying foundational familiarity with AI-driven systems, tools, or workflows to real-world products.