Software Development Engineer III, Engineering Enablement

Expedia • Seattle, WA

2d • $146,000 - $204,500

About The Position

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. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Software Development Engineer III, Engineering Enablement 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 Engineering Enablement team builds durable systems that reduce cognitive load and improve delivery outcomes at scale. As engineering complexity grows faster than headcount, we create platforms that empower developers to move faster, onboard efficiently, and leverage AI-augmented workflows safely and reliably. This team is the foundation that enables engineering excellence across Expedia Group. In this role, you will: Design and implement backend services and APIs that power Internal Developer Platform workflows, connecting documentation, templates, automation, and service metadata Build AI-powered capabilities within developer workflows, creating safe and observable integrations with enterprise AI services Develop reusable automation patterns for onboarding and service lifecycle workflows, reducing manual engineering steps through orchestration Own subsystems and platform components end-to-end, from design through deployment to operation Implement strong observability and monitoring practices, participating in incident response and continuous reliability improvements Build integrations that improve documentation discoverability and ensure systems support AI-ingestible, well-structured knowledge Contribute to agent-based workflows that connect knowledge and action, instrumenting AI interactions for telemetry and reliability Independently deliver production-grade implementations with minimal oversight while identifying recurring friction and proposing scalable solutions Collaborate across teams to ensure solutions are scalable and maintainable across multiple engineering organizations

Requirements

• Strong experience building and operating production-grade services in complex engineering environments
• Demonstrated ability to independently own system components or subsystems within larger platforms
• Proficiency in at least one modern programming language (such as Java, Python, Go, or similar)
• Experience with distributed systems, APIs, and backend development
• Proven ability to work across teams and deliver results in complex technical environments

Nice To Haves

• Experience contributing to an Internal Developer Platform or shared engineering systems
• Familiarity with AI-augmented workflows, automation systems, or machine learning integrations
• Experience improving CI/CD pipelines, service templates, or lifecycle tooling
• Experience building reusable frameworks, extensibility models, or developer productivity tools

Responsibilities

• Design and implement backend services and APIs that power Internal Developer Platform workflows, connecting documentation, templates, automation, and service metadata
• Build AI-powered capabilities within developer workflows, creating safe and observable integrations with enterprise AI services
• Develop reusable automation patterns for onboarding and service lifecycle workflows, reducing manual engineering steps through orchestration
• Own subsystems and platform components end-to-end, from design through deployment to operation
• Implement strong observability and monitoring practices, participating in incident response and continuous reliability improvements
• Build integrations that improve documentation discoverability and ensure systems support AI-ingestible, well-structured knowledge
• Contribute to agent-based workflows that connect knowledge and action, instrumenting AI interactions for telemetry and reliability
• Independently deliver production-grade implementations with minimal oversight while identifying recurring friction and proposing scalable solutions
• Collaborate across teams to ensure solutions are scalable and maintainable across multiple engineering organizations

Benefits

• full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources
• medical/dental/vision
• paid time off
• Employee Assistance Program
• wellness & travel reimbursement
• travel discounts
• International Airlines Travel Agent ( IATAN ) membership

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed