Senior Software Development Engineer

Expedia Group•San Jose, CA

1d•$199,000 - $318,500

About The Position

Expedia Group is a global travel company that connects travelers, partners, and advertisers through its consumer brands, B2B network, and travel advertising business. The Senior Software Development Engineer role is within the Universal Messaging Platform (UMP) team, Expedia Group’s core communications platform. UMP powers high-scale, reliable delivery across Email, SMS, Push, Inbox, and emerging channels. The Inbox Experience team focuses on leading the architecture, development, and operation of mission-critical systems that elevate traveler experience, strengthen loyalty, and drive business growth at global scale.

Requirements

Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.
8+ years of relevant professional experience.
Proven experience owning services or components through the full software development lifecycle, including design, implementation, deployment, and on-call or operational support.
Proficiency in at least one modern programming language and associated frameworks, with strong understanding of system design, API design, and data modeling concepts.
Expert proficiency in Java, Kotlin, GraphQL, grpc, Spring boot
Strong experience building distributed systems, RESTful APIs, and microservices.
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Familiarity with CI/CD pipelines, infrastructure code, and DevOps practices.
Experience working on systems that integrate with multiple services or domains, ensuring reliability, scalability, and effective observability.

Nice To Haves

Experience designing and evolving service or multi-service architectures at scale, including patterns for resiliency, fault tolerance, and performance optimization.
Track record of leading technical design efforts, influencing architectural decisions, and driving improvements to engineering practices and operational excellence within a team or domain.
Hands-on experience with data-driven decision making, including defining metrics, using logging/monitoring/analytics to guide iterations, and improving system health and user outcomes.
Familiarity with AI-driven systems, tools, or workflows, with experience safely integrating and operating AI/ML‑enabled solutions that enhance product capabilities or developer productivity, including Safely integrating and operating AI/ML‑enabled solutions that improve outcomes.
Demonstrated depth in one or more technical domains (such as distributed systems, data-intensive services, or full stack web applications) while remaining adaptable to work across multiple domains as business needs evolve.

Responsibilities

Design, build, and evolve scalable, reliable services and components, including system design, low-level design, API design, and data modeling to support high-traffic, customer-facing and platform experiences.
Write, review, and maintain high-quality, well-tested code, driving engineering best practices in code quality, security, observability, and performance across the team.
Take end-to-end ownership of complex features or services, from technical design through implementation, deployment, monitoring, and iterative improvement in production.
Collaborate closely with product, design, and cross-functional engineering teams to break down ambiguous business problems into clear technical solutions that can be reused across multiple domains.
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.
Contribute to technical direction by participating in design reviews, proposing improvements to architecture and operational processes, and mentoring other engineers to raise the overall technical bar.