Software Development Engineer II (Full Stack Be Heavy)

Role overview

• Design, build, and operate backend-heavy full-stack services for Expedia Group s Modern Checkout platform, creating brand-agnostic, product-agnostic capabilities that serve hotels, flights, activities, and packages at global scale.
• Own problems end to end across the stack, from clarifying requirements and producing low-level designs, APIs, and data models through implementation, testing, deployment, and ongoing operational support.
• Develop and evolve microservices and platform components in a cloud-native environment using languages such as Kotlin, Java, or C#/.NET, integrating with AWS-hosted data stores, caches, and streaming systems.
• Implement resilient, observable, and high-performance tier-zero checkout services, contributing to CI/CD pipelines, automated testing, and operational readiness to meet strict availability and latency goals.
• Collaborate with engineers, product managers, and partner teams to incrementally decompose legacy monoliths into a unified architecture, ensuring services are reusable and fungible across multiple brands and domains.
• Use AI-assisted development tools and AI-driven workflows to accelerate coding, testing, and troubleshooting, and safely integrate and operate AI/ML-enabled solutions that improve engineering efficiency and checkout outcomes.

Minimum Qualifications

• Bachelor s degree in Computer Science or a related technical field; or Equivalent related professional experience.
• 2+ years of relevant professional experience.
• Demonstrated ownership of services or features through the full development lifecycle, including low-level system design, API design, data modeling, implementation, testing, deployment, and production support in a cloud environment.
• Strong coding, problem-solving, and analytical skills, with solid understanding of core computer science fundamentals such as data structures, algorithms, and time/space complexity.

Preferred Qualifications

• Experience building microservices or service-oriented architectures on AWS (or a similar cloud), integrating with technologies such as Redis or other caches, NoSQL data stores like DynamoDB, and streaming or messaging systems such as Kinesis.
• Track record of delivering and operating high-availability, high-throughput, tier-zero or mission-critical services with strong observability, reliability, and incident-response practices.
• Hands-on experience with modern front-end technologies such as JavaScript and React, and with service interaction patterns and protocols such as REST or GraphQL in full-stack systems.
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including practical use of AI-assisted coding tools (for example, Cursor, Claude Code, or similar) to improve development speed, quality, or test coverage, and experience safely integrating AI-powered capabilities into production services where appropriate.

Accommodation requests


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