1,963,048open jobs
115,945companies
246,966added this week
Browse all
Salary
$199k – $279k per year
Location
In office (San Jose)
Seniority
Senior · 8+ years exp
Employment
Full-Time

First seen by Alion on Sep 2, 2026. Expedia Group scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Expedia Group is an American travel technology company headquartered in Seattle, Washington, that runs consumer brands such as Expedia and Vrbo alongside a B2B travel network and a travel advertising business. It began in 1996 as a division of Microsoft, went public in 1999, was spun off from IAC in 2005, and its portfolio also includes Hotwire, Orbitz, Travelocity, Wotif and Trivago. Current openings cover software development and machine learning engineers and scientists, product managers, data engineers, account managers for hotel partners, and analysts in Seattle, London, Austin and Chicago.
Backed by Metaprop, Montefiore

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.

Introduction to the Team:

Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

The Loyalty Engineering organization powers continuous engagement, re-engagement, and (re)acquisition for travelers worldwide. We build the systems that create a durable growth flywheel for Expedia, deepening traveler relationships while driving measurable business impact across brands and markets.

In this role, you will contribute to the technical strategy and architecture for the AI empowered Loyalty charter, developing and delivering next generation, intelligent engagement experiences powered by modern AI and agentic systems. You will contribute to system design across multiple distributed engineering teams, partnering closely with Product, Data Science, and platform leaders to build scalable, reliable, and innovative solutions.

In this role, you will:

  • Design, build, and evolve client facing experiences and full stack services for global loyalty products, ensuring high availability, scalability, and performance across multiple customer and partner touchpoints.

  • Own the design and evolution of embeddable placements that other internal teams integrate into their own surfaces, including versioning, backward compatibility, and safe staged rollout across a wide range of host environments.

  • Lead end to end system design across the full stack, from low level design and API design to data modeling, with particular depth on browser side architecture such as cross domain communication, sandboxing, script size and performance budgets, and privacy and consent constraints.

  • Drive technical strategy negotiating clear technical contracts, ownership boundaries, and integration points in situations where the team does not have direct authority over the placement.

  • Own complex full stack features from technical design through implementation, testing, deployment, and operational support, with a front end leaning bias while remaining equally comfortable owning backend services and data models when needed.

  • Collaborate with product, design, partner engineering teams, and platform leaders to translate loyalty product requirements into technical solutions that work within the real constraints of third party or partner owned placements, making pragmatic trade offs using data and customer impact.

  • Safely integrate and operate AI and ML enabled personalization, experimentation, or optimization capabilities within client side surfaces, accounting for the added complexity of operating inside surfaces the team does not fully control.

  • Mentor engineers and set technical direction for this class of embedded, cross team, and partner surface problems, contributing patterns, tooling, and best practices that make these challenges easier to solve consistently across the loyalty ecosystem.

Minimum Qualifications:

  • Bachelor’s degree in Computer Science or a related technical field, or equivalent related professional experience.

  • 8+ years of relevant professional experience.

  • Professional software development experience building and operating full stack services, including hands on work with RESTful APIs, data models, and web applications.

  • Proven experience owning design and implementation for services or features within a multi service or domain environment, including accountability for quality, reliability, and operational readiness.

  • Strong proficiency in at least one modern programming language and associated frameworks, with the ability to design, review, and debug complex, distributed systems.

  • Familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products.

Preferred Qualifications:

  • Experience building and shipping client-side SDKs, tags, or embeddable widgets that run inside surfaces or applications owned by other teams or external partners, such as ad serving, tag management, analytics, or personalization SDKs.

  • Strong front end engineering depth in React and TypeScript, including performance optimization for latency sensitive, high traffic consumer surfaces, paired with working proficiency in backend services using Java or Node in cloud native environments.

  • Experience negotiating technical integration contracts with partner or platform teams who own the surface or placement, including defining clear ownership boundaries, service levels, and fallback behavior when a partner surface changes unexpectedly.

  • Familiarity with ad tech concepts, user targeting, and experimentation, with the ability to apply that experience to loyalty and personalization use cases.

  • Hands on experience integrating and operating AI or ML enabled capabilities in production, including use of developer AI tools such as Claude, GitHub Copilot, and Cursor to improve productivity, code quality, personalization, and automation outcomes.

The total cash range for this position in San Jose is $199,000.00 to $278,500.00. Employees in this role have the potential to increase their pay up to $318,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request athttps://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,963,048 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Backend
Similar stack
Same company
San Jose
≈ $99k – $197k per year (Estimated) • In office • 3+ years exp • Chicago
Python
JavaScript
SQL
AI/ML
Knowledge Graph
DevOps
CI/CD
AWS
Kubernetes
Spinnaker
Amazon EKS
AWS Lambda
Amazon EC2
Management
Agile
Apply
≈ $96k – $190k per year (Estimated) • In office • 3+ years exp • Columbus
Java
Databases
Apache Kafka
DevOps
CI/CD
AWS
Management
Agile
Apply
$499k per year • Equity • In office • 8+ years exp • New York • Los Gatos
Python
Java
C++
AI/ML
Spark
Machine Learning
Apply
$388k – $558k per year • Equity • In office • 5+ years exp • New York • Los Gatos
Python
Go
Java
Kotlin
AI/ML
Knowledge Graph
DevOps
AWS
IAM
Apply
$110k – $205k per year • In office • 7+ years exp • Bachelor's Degree • Annapolis Junction
Python
JavaScript
C++
DevOps
GitHub
GitLab
Linux
Management
Confluence
Jira
Apply
Hybrid • Full-Time • Bachelor's Degree • Mumbai
SQL
AI/ML
Prompt Engineering
AI Agents
LLM
Human-in-the-Loop
DevOps
Azure
Windows
Analytics
Power BI
ETL/ELT
Alteryx
Microsoft Excel
Management
Power Apps
ITIL
Apply
$230k – $262k per year • In office • Full-Time • 9+ years exp • Bachelor's Degree • Richmond • McLean
Python
Go
JavaScript
Rust
TypeScript
C#
C++
Node JS
Scala
Python
FastAPI
AI/ML
LangGraph
LangChain
LlamaIndex
Fine-tuning
Embeddings
Function Calling
AI Agents
Ollama
Semantic Kernel
AWS Bedrock
LLM
RAG
CUDA
OpenAI
Anthropic
Hugging Face
GraphRAG
LLM Guardrails
Agentic Workflows
Frontend
Tailwind CSS
Next.js
React.js
DevOps
GCP
WebSockets
Azure
CI/CD
Git
AWS
Bitbucket
GitHub
Apply
$230k – $262k per year • In office • Full-Time • 6+ years exp • Bachelor's Degree • New York • San Francisco • McLean • Plano
Python
Go
Java
C++
Scala
C++
TensorFlow C++
AI/ML
Spark
Reinforcement Learning
Scikit-learn
Transformers
TensorFlow
Pandas
NumPy
PyTorch
Ray
Explainable AI
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Kubernetes
Management
Agile
Apply
≈ $46k – $99k per year (Estimated) • Remote (Europe) • Full-Time • Master's Degree • Toulouse
Python
SAS
AI/ML
OpenCV
Computer Vision
PyTorch
Machine Learning
DevOps
Git
Linux
Management
Agile
Apply
≈ $142k – $266k per year (Estimated) • Equity • In office • Full-Time • 12+ years exp • Bachelor's Degree • Charlotte
Databases
Amazon Neptune
AI/ML
AI Agents
AWS Bedrock
RAG
AWS Bedrock AgentCore
LLM Guardrails
Computer Use
Multi-Agent Systems
DevOps
CI/CD
AWS
Platform Engineering
IAM
Amazon CloudWatch
Analytics
AWS Glue
Apply
$146k – $205k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • Chicago • Washington
Java
Kotlin
AI/ML
Embeddings
AI Agents
Flink
A2A
Semantic Search
Machine Learning
DevOps
gRPC
Apply
$185k – $258k per year • In office • Full-Time • 8+ years exp • Bachelor's Degree • Seattle
Python
Java
Kotlin
AI/ML
AI Agents
RAG
LLM Guardrails
Machine Learning
DevOps
Incident Management
Apply
$185k – $258k per year • In office • Full-Time • 8+ years exp • Bachelor's Degree • Seattle
Java
Rust
Kotlin
Scala
DevOps
CI/CD
Apply
$146k – $205k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • Seattle
Java
Kotlin
AI/ML
Copilot
Claude
Apply
$119k – $167k per year • In office • Full-Time • 3+ years exp • Bachelor's Degree • Seattle
Java
Kotlin
AI/ML
Copilot
Claude
DevOps
AWS
Apply
≈ $116k – $260k per year (Estimated) • In office • 2+ years exp • Bachelor's Degree • San Jose
Python
Verilog
SystemVerilog
AI/ML
vLLM
Fine-tuning
RLHF
Reinforcement Learning
AI Agents
SGLang
Transformers
PyTorch
LLM
Ray
Synthetic Data
CUDA
Hugging Face
SFT
Post-training
Apply
Field Supervisor 1 day ago
$105k – $120k per year • In office • Full-Time • 5+ years exp • San Jose
Robotics
Sensor Fusion
Apply
$98k – $188k per year • In office • 8+ years exp • Bachelor's Degree • Phoenix • Chicago • San Jose • Charlotte • Austin
Apply
≈ $45k – $119k per year (Estimated) • In office • Full-Time • San Jose
Apply
≈ $45k – $119k per year (Estimated) • In office • Full-Time • San Jose
Apply
See all jobs
This is one of many
1,963,048 more open roles from verified company boards, updated every day.