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Software Development Engineer II

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Expedia Group
Full Time position
Listed on 2026-09-25
Job specializations:
  • Software Development
    Backend Developer, Software Engineer, DevOps, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

About the team

We are the Model Lifecycle team inside Expedia Group's ML Platform. Our services help the MLS and MLE community across EG take use cases from idea to production model in the shortest time possible, with paved paths for training, registration, deployment, serving and monitoring.

As an SDE II you will own features end to end across one or two of these services, working in Python, Go, Type Script and Kubernetes, with senior and principal engineers close by to pair, review and unblock. Hundreds of models across Expedia, Vrbo and  run on what we help build, so the code you ship is felt quickly and good engineering habits (tests, observability, clear PRs) are valued as much as raw output.

We lean heavily on coding agents (Cursor, Claude Code and friends) to accelerate the delivery cycle: scaffolding services, drafting tests, reviewing PRs and keeping documentation in step with the code. You'll have space to learn how to get the best out of them and we'll look to you to apply good judgement on what lands in  this role, you will:

Design, build, test, and maintain reliable software components that deliver high-quality customer and business outcomes.

Translate product and technical requirements into maintainable solutions, applying sound engineering practices across the software development lifecycle.

Develop clear low-level designs, APIs, data models, and integrations that support scalable, secure, and dependable services.

Investigate and resolve complex technical issues, improve system performance and reliability, and contribute to operational excellence.

Collaborate effectively across engineering, product, and technical domains while applying transferable skills to multiple problem spaces.

Safely integrate and operate AI/ML-enabled solutions that improve outcomes, while building familiarity with AI-driven systems, tools, workflows, and the application of AI/ML concepts to real-world products.

Minimum Qualifications:

Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.

Demonstrated professional software engineering experience appropriate to an SDE II role.

Experience owning and delivering features or components within a service or defined technical area.

Proficiency in software development fundamentals, including coding, testing, debugging, version control, API design, data modeling, and low-level system design.

Experience working with cross-functional partners to deliver, operate, and improve production software.

Preferred Qualifications:

Experience designing and operating reliable services at scale, with a focus on performance, availability, security, and maintainability.

Demonstrated ability to contribute to architectural decisions, simplify complex technical problems, and improve engineering practices within a defined service or domain.

Experience using monitoring, logging, metrics, and data-driven analysis to diagnose issues and guide technical improvements.

Practical exposure to AI/ML-enabled…
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