Software Development Engineer at Expedia Group
London EC1V 4EX, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

08 Aug, 25

Salary

0.0

Posted On

09 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Aws, Garbage Collection, Platforms, Humility, Data Structures, Maintainability, Distributed Systems, Ecs

Industry

Information Technology/IT

Description

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.

SOFTWARE DEVELOPER ENGINEER II

Introduction to team
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. Delta) and many more.
We’re looking for a driven and curious Software Development Engineer II (SDE II) with hands-on experience building scalable backend systems and a solid foundation in JVM-based languages. If you’re eager to grow your expertise in system design, clean code practices, and distributed systems — all while working with a modern tech stack — this is the opportunity for you.
You’ll contribute to our microservices architecture, help build data-rich APIs, and play a key role in evolving our platform that powers real-time decision-making for our business.

In this role, you will:

  • Design and develop backend services and data APIs using Scala, Java, or Kotlin on the JVM.
  • Collaborate with cross-functional teams including data engineers, product managers, and fellow developers.
  • Contribute to the design and implementation of microservices that are scalable, resilient, and maintainable.
  • Write clean, testable, and efficient code, following software engineering best practices and patterns.
  • Participate in technical discussions, design reviews, and code reviews.
  • Continuously learn and grow your understanding of JVM internals, performance tuning, and GC behavior.
  • Leverage NoSQL databases (e.g., DynamoDB, Elasticsearch) in building performant data-driven services.
  • Support and improve CI/CD pipelines and observability tools that help the team build and ship reliably.

EXPERIENCE AND QUALIFICATIONS:

  • You have 2-5 years of professional software development experience, primarily on the JVM.
  • Hands-on experience building and deploying microservices in a production environment.
  • Exposure to cloud platforms like AWS, including services like Lambda, ECS, DynamoDB, etc.
  • You’ve worked with NoSQL technologies and understand how to model data for distributed systems.
  • A strong believer in clean code, maintainability, and building systems that scale and perform.
  • You have a solid foundation in CS fundamentals, data structures, and system design.
  • You’re interested in the internals of the JVM, including how garbage collection and performance tuning work — even if you’re still learning the ropes.
  • A good communicator and a collaborative teammate who enjoys solving problems together.
  • You bring curiosity, humility, and a growth mindset to the table.
Responsibilities
  • Design and develop backend services and data APIs using Scala, Java, or Kotlin on the JVM.
  • Collaborate with cross-functional teams including data engineers, product managers, and fellow developers.
  • Contribute to the design and implementation of microservices that are scalable, resilient, and maintainable.
  • Write clean, testable, and efficient code, following software engineering best practices and patterns.
  • Participate in technical discussions, design reviews, and code reviews.
  • Continuously learn and grow your understanding of JVM internals, performance tuning, and GC behavior.
  • Leverage NoSQL databases (e.g., DynamoDB, Elasticsearch) in building performant data-driven services.
  • Support and improve CI/CD pipelines and observability tools that help the team build and ship reliably
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