Software Development Engineer III - Loyalty
for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We should only include sections where there is real specific content.
We need to parse content:
- Introduction: "At Expedia Group, we help travelers..." This is generic company description; could be "About the role"? Actually "About the role" is typical heading for role description. We have "In This Role, You Will" list of responsibilities. So we can have a section "Responsibilities" with those bullet points.
- There's also "Minimum Qualifications" and "Preferred Qualifications". Those can be under "Requirements" or "Qualifications". We need to decide headings: maybe "Qualifications" for minimum, and "Preferred Qualifications" as separate? The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can have "Qualifications" for minimum qualifications, and maybe "Preferred Qualifications" could be under "Skills"? But better to have "Qualifications" for minimum, and "Preferred Qualifications" could be under "Skills" or we could add another heading but not in list? The instruction says prefer a few substantive sections over many thin ones. Could combine Minimum and Preferred under "Qualifications" with sub-bullets? But we must preserve all substantive info; we can list both under same heading with separate bullet groups.
- There's also "Benefits And Perks" section: we can have Benefits heading.
- Pay: there is total cash range and potential increase. So we can have Pay heading.
- Schedule: not mentioned, so omit.
- About the role: maybe we can have an "About the role" section summarizing the role purpose: The paragraph about "In this role, you will contribute to the AI empowered Loyalty charter..." That's more responsibilities. Could treat that as part of responsibilities. The introductory paragraphs about team and mission could be "About the role" or maybe we omit as it's covered elsewhere. But we need to include all substantive info; we can put that under "About the role" as prose.
Thus sections:
About the role
Expedia Technology teams partner with Product teams... (the team description) ... In this role, you will contribute to 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.
Then responsibilities: list bullet points from "In This Role, You Will". Use- .
Then Qualifications: combine Minimum and Preferred. Could have subheadings? Not allowed; only headings from list. Could use
to separate Minimum and Preferred within Qualifications. Provide bullet lists for each. Then Benefits:
Benefits
- ... list.
Then Pay:
Pay
... details. We must not include boilerplate like EEO, accommodation requests, etc. Also remove duplicated lines. Let's extract specifics. About the role paragraph: combine: "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 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." That's good. Responsibilities bullet points from "In This Role, You Will": - Design, develop, test, deploy, and maintain full-stack software across front-end and back-end components, delivering reliable outcomes for customers and the business. - Apply software engineering practices, including low-level system design, API design, data modeling, code review, testing, debugging, and continuous improvement. - Own technical solutions spanning multiple services or a defined technical domain, collaborating across teams to deliver cohesive, scalable capabilities. - Translate product and business requirements into maintainable technical solutions, using data and operational feedback to guide decisions. - 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. - Safely integrate and operate AI/ML-enabled solutions that improve outcomes, applying foundational AI/ML concepts to real-world products and workflows. - Contribute technical expertise across domains, strengthen engineering practices, and help teams deliver high-quality software with appropriate operational rigor. Minimum Qualifications bullet points: - Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience. - 5+ years of relevant professional experience. - Experience designing, building, testing, deploying, and operating production software across full-stack applications. - Experience owning technical solutions spanning multiple services or a defined technical domain, with proficiency in low-level system design, API design, data modeling, testing, debugging, and version control. - Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications bullet points: - Experience delivering full-stack systems at scale with strong reliability, maintainability, performance, and observability. - Demonstrated ability to lead architecture and technical decisions across services while balancing customer needs, engineering quality, and delivery outcomes. - Experience using operational metrics, experimentation, and production insights to improve system and product performance. - 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 safely integrating AI/ML capabilities into production software, including evaluating their effectiveness, reliability, and operational impact. - Advanced experience applying AI-assisted development workflows or AI/ML techniques to improve engineering productivity and real-world product outcomes. - 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. Benefits bullet points: - medical, dental, and vision coverage - paid time off - an Employee Assistance Program - wellness and travel reimbursement - travel discounts - International Airlines Travel Agent Network (IATAN) membership Pay paragraph: - The total cash range for this position in Seattle is $146,000.00 to $204,500.00. - Employees in this role have the potential to increase their pay up to $233,500.00, 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. We'll put that in
maybe as a list? Could be prose. Use
with sentences. Now produce HTML fragment. Make sure not to include any extra text. Let's craft:
About the role
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 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.
Responsibilities
- Design, develop, test, deploy, and maintain full-stack software across front-end and back-end components, delivering reliable outcomes for customers and the business.
- Apply software engineering practices, including low-level system design, API design, data modeling, code review, testing, debugging, and continuous improvement.
- Own technical solutions spanning multiple services or a defined technical domain, collaborating across teams to deliver cohesive, scalable capabilities.
- Translate product and business requirements into maintainable technical solutions, using data and operational feedback to guide decisions.
- 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.
- Safely integrate and operate AI/ML-enabled solutions that improve outcomes, applying foundational AI/ML concepts to real-world products and workflows.
- Contribute technical expertise across domains, strengthen engineering practices, and help teams deliver high-quality software with appropriate operational rigor.
Qualifications
Minimum Qualifications
- Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.
- 5+ years of relevant professional experience.
- Experience designing, building, testing, deploying, and operating production software across full-stack applications.
- Experience owning technical solutions spanning multiple services or a defined technical domain, with proficiency in low-level system design, API design, data modeling, testing, debugging, and version control.
- Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.
Preferred Qualifications
- Experience delivering full-stack systems at scale with strong reliability, maintainability, performance, and observability.
- Demonstrated ability to lead architecture and technical decisions across services while balancing customer needs, engineering quality, and delivery outcomes.
- Experience using operational metrics, experimentation, and production insights to improve system and product performance.
- 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 safely integrating AI/ML capabilities into production software, including evaluating their effectiveness, reliability, and operational impact.
- Advanced experience applying AI-assisted development workflows or AI/ML techniques to improve engineering productivity and real-world product outcomes.
- 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.
Benefits
- medical, dental, and vision coverage
- paid time off
- an Employee Assistance Program
- wellness and travel reimbursement
- travel discounts
- International Airlines Travel Agent Network (IATAN) membership
Pay
The total cash range for this position in Seattle is $146,000.00 to $204,500.00. Employees in this
- ... list.
Then Pay: