Senior Native DevOps Engineer

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.

About The Team We build and operate Expedia Group's core CI infrastructure that powers engineering teams across multiple domains. Our mission is to deliver fast, reliable, and scalable build systems—spanning native, backend, platform, and service teams—enabling developers to ship high-quality software with confidence.

A high performing and influential individual contributor who leads by example while continuing to mentor junior engineers, interfaces consistently with tech leadership in the local organization, leads complex and vaguely-defined projects, and stretches into team leadership skills based on current projects.

In This Role, You Will

• Design, implement, and operate native cloud infrastructure, CI/CD pipelines, and platform services that enable rapid, reliable delivery of applications across multiple domains.
• Build, configure, and maintain automated deployment, monitoring, and observability solutions to ensure high availability, scalability, and performance of critical services.
• Drive improvements in infrastructure-as-code, configuration management, and environment standardization to increase reliability, reduce manual work, and improve developer productivity.
• Partner with engineering and architecture teams to define system design, including low-level design, API integration patterns, and data flows that align with operational and security best practices.
• Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.
• Lead incident response, problem management, and post-incident reviews, using data and metrics to drive continuous operational excellence across services and platforms.

Minimum Qualifications

• Relevant technical degree or equivalent practical experience in software engineering, computer science, or a related field with a focus on infrastructure, systems, or DevOps.
• Extensive hands-on experience in native cloud environments operating production systems, including ownership of one or more services or platforms end to end.
• Demonstrated expertise in CI/CD tooling, infrastructure-as-code, and automation, including build, test, deployment, and environment provisioning workflows.
• Strong proficiency in system design, including low-level design of infrastructure components, API integration, networking, security controls, and data modeling for operational systems.
• Proven experience monitoring, scaling, and troubleshooting distributed systems in production using logs, metrics, and alerts to maintain reliability and performance.

Preferred Qualifications

• Experience with implementing and tuning remote build caching (Gradle Enterprise, Bazel Remote Cache).
• Experience with tuning macOS build performance, concurrency, resource allocation, filesystem tuning, or virtualization.
• Strong AWS experience — compute, storage, networking, autoscaling.
• Experience with Terraform, packer, GitHub suite (GH Actions, workflows and runners).
• Experience driving large-scale CI improvements across multiple teams or orgs, having the ability to lead ambiguous technical initiatives with minimal direction.
• Deep experience designing and operating complex, large-scale cloud-native platforms or multi-service environments with strong emphasis on resilience, capacity planning, and cost optimization.
• Track record of leading architecture and design for deployment pipelines, infrastructure platforms, and operational tooling, including defining standards and best practices across teams.
• Advanced expertise in observability, incident management, and reliability engineering, using data-driven approaches to improve SLIs/SLOs and reduce operational toil.
• Experience integrating and operating AI/ML-enabled or AI-assisted systems in production (such as intelligent monitoring, automated remediation, or optimization pipelines), including safely leveraging AI tooling to enhance DevOps workflows.
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products in the context of deployment automation, infrastructure optimization, or reliability engineering.

Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. 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, religion, gender, sexual orientation, national origin, disability or age.