Top Engineering Jobs

Senior backend engineer responsible for designing, building, and operating scalable, highly available services and APIs. Lead end-to-end implementation, influence architecture, mentor engineers, integrate AI/ML safely, and drive operational excellence through automation, observability, incident response, and continuous improvement.

Design, develop, test, and maintain backend services and components for high-throughput pricing systems. Contribute to low-level system and API design, own operational quality (monitoring, alerting, logging, on-call), and collaborate with product and partner teams. Apply secure coding, automated testing, and foundational AI/ML concepts to deliver scalable, observable services.

The Senior Software Engineer will design and develop scalable services, ensure high code quality, and lead AI integration efforts to enhance the traveler experience while collaborating with cross-functional teams.

Build and maintain scalable backend payment services for Expedia's global platform. Implement secure data handling, improve reliability via observability and automation, apply architectural patterns and GenAI where appropriate, and collaborate with cross-functional teams to deliver production-ready features.

Design, build, and maintain scalable iOS applications and architectures. Collaborate with product, design, backend, and data teams to implement features, diagnose and resolve performance issues, integrate AI/ML capabilities safely, and contribute to shared mobile frameworks, observability, and operational excellence.

As a Senior Software Development Engineer in the ML Platform team, you'll design and build scalable ML platform capabilities, enhance software quality, improve operational health, and drive adoption of shared ML infrastructure across teams.

Design, build, test, and maintain secure, scalable backend services and full-stack features for Expedia Group Advertising. Own feature lifecycle, resolve production issues, collaborate with product and data science, and help integrate AI/ML-enabled capabilities while focusing on performance, observability, and reliability.

Lead Hotel Partner Solutions team to manage end-to-end incident lifecycle for complex cross-system issues, drive reliability improvements with engineering/product teams, use SLAs/SLOs/metrics to prioritize work, build runbooks and AI-ready knowledge artifacts, and hire and develop a high-performing technical operations team.

Lead investigations into high-impact production incidents, perform root-cause analysis, analyze logs/metrics, drive remediation and automation, partner with engineering/product teams, improve monitoring and operational standards, and mentor junior staff while participating in incident response and on-call support.

Design and build automation and AI-enabled operational workflows to improve detection, diagnosis, and recovery. Develop Python services and orchestrations (n8n, APIs) to remove toil, strengthen observability, support SRE practices, and improve MTTR. Partner across SRE, platform, and infrastructure teams, contribute to CI/CD and infrastructure automation, mentor engineers, and drive production readiness and reliability improvements.