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Full stack engineer (hybrid or remote)

London
Expedia
Full stack engineer
Posted: 21 June
Offer description

Full Stack Engineer
Private Label Solutions (PLS) is the B2B arm of Expedia Group. We open up our supply and innovative technology to businesses looking to take on the world of travel. These businesses, sometimes referred to as our ‘demand partners’, include global financial institutions (e.g. AMEX), corporate managed travel, offline travel agents (e.g. Flight Centre), global travel suppliers (e.g. We’re looking for a Full Stack Developer to join our growing engineering team. In this role, you’ll work across the stack—building backend services and frontend experiences that are performant, scalable, and user-focused. You'll collaborate closely with data engineers, product managers, and fellow developers to design and deliver solutions that drive real impact.

Design and develop backend services and data APIs using Scala, Java, or Kotlin on the JVM.
Build intuitive and responsive web interfaces using modern JavaScript frameworks (e.g., React, Vue, or Angular).
Contribute to the design and implementation of scalable, resilient, and maintainable microservices.
Participate in technical discussions, design reviews, and code reviews to help shape our engineering standards.
Leverage NoSQL databases (e.g., DynamoDB, Elasticsearch) to build high-performance, data-driven services.
Support and improve CI/CD pipelines, observability tools, and automation processes to help the team build and deploy reliably.

You have 5-7 years of professional software development experience, primarily on the JVM.
Experience building and maintaining full stack applications, including backend APIs and frontend user interfaces.
Familiarity with modern frontend development, including frameworks like React, Vue, or Angular.
Exposure to cloud platforms, especially AWS and services such as Lambda, ECS, DynamoDB, etc.
Solid understanding of data modeling for distributed systems and working with NoSQL databases.
Strong grasp of computer science fundamentals, including data structures, algorithms, and system design.

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