✦ Luna Orbit — Software Engineering

Software Development Engineer II - Back End, GenAI Platform

at Expedia Group

📍 USA - Illinois - Chicago Unknown 💰 $111K – $155K USD / year Posted March 28, 2026
Salary $111K – $155K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Software Engineering

This role involves designing, building, and maintaining backend services and APIs for Expedia's GenAI platform, with a focus on cloud deployment, security, and AI integration.

  • Design and develop backend services
  • Implement cloud solutions on AWS
  • Ensure system observability and security
  • Integrate AI/ML features
  • Participate in on-call support

The position requires expertise in backend development, cloud computing (AWS), system design, monitoring, and AI/ML concepts, especially GenAI.

The ideal candidate is a mid-level backend engineer with experience designing APIs, working with cloud environments, particularly AWS, and implementing monitoring and CI/CD pipelines. Familiarity with AI/ML and generative AI concepts is a plus.

Backend servicesAPI developmentCloud environmentAWSMonitoringCI/CD pipelinesData flowsSecurity practicesAI/ML concepts
GenAIML systemsGuardrailsAuthenticationAuthorization
AWSAmazon Web ServicesCI/CD pipelinesMonitoring tools
API designsystem designdata modelingAWSAmazon Web ServicesmonitoringCI/CD pipelinesloggingAI/MLGenAI
API designSystem designData modelingCloud environmentAWSAmazon Web ServicesMonitoringCI/CD pipelinesLoggingOn-call rotation
Problem-solvingCollaborationCommunicationAttention to detailTeamwork
Industry Travel & Hospitality
Job Function Backend development and platform engineering for AI-powered travel solutions
Role Subtype Backend Engineer
Tech Domains Amazon Web Services, AWS
API designSystem designData modelingAWSAmazon Web ServicesMonitoringCI/CD pipelinesLoggingAI/MLGenAISecurity practicesOn-call rotationBackend servicesCloud environmentSoftware DevelopmentBackend APIData flowsSecurity

Lack of cloud experience, No API design experience, No knowledge of AWS, No experience with monitoring or CI/CD, Lack of AI/ML understanding

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