Senior Software Development Engineer

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Introduction to the team

InsurTech owns the end-to-end insurance and assurance lifecycle across Expedia Group brands, spanning shopping, booking, servicing, and claims. We build the platforms and experiences that help travelers discover, purchase, and use protection products more easily, and we are increasingly applying data and machine learning to improve recommendations, product relevance, and operational efficiency at scale.

We're seeking a high-performing and influential individual contributor who leads by example, mentors engineers, interfaces consistently with technical leadership, leads complex and ambiguously defined projects, and brings strong engineering judgment to systems that power customer-facing and platform capabilities. We are especially interested in someone who can help us responsibly apply AI/ML-enabled solutions to real-world InsurTech products and workflows.

In this role, you will:

• Design, build, and evolve scalable, reliable services and software components, including system design, low-level design, API design, and data modeling to support customer-facing and platform experiences.

• Lead the technical design and delivery of complex, multi-quarter initiatives across InsurTech systems that support shopping, booking, servicing, and claims journeys.

• Collaborate across teams and lead communities of practice to foster shared learning, engineering consistency, and cross-functional alignment.

• Take end-to-end ownership of complex features or services, from technical design through implementation, deployment, monitoring, and iterative improvement in production.

• Write, review, and maintain high-quality, well-tested code, while driving best practices in code quality, security, observability, resilience, and performance.

• Guide junior engineers and provide technical mentorship that raises the overall engineering bar for the team.

• Break down ambiguous business problems into clear technical solutions that can be reused across multiple domains and services.

• Safely integrate and operate AI/ML-enabled solutions that improve traveler and business outcomes, including applying AI-driven systems, tools, or workflows to production-grade software products.

• Partner with product, analytics, and engineering teams to apply data-driven decision making, define success metrics, and improve system health and user outcomes over time.

• Contribute to architectural direction and operational excellence by participating in design reviews, proposing improvements, and helping shape long-term technical strategy.

Minimum Qualifications

• Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.

• 8+ years of relevant professional experience.

• Experience leading the end-to-end technical design and delivery of complex software initiatives through the full software development lifecycle, including design, implementation, deployment, and operational support.

• Deep expertise in one or more modern programming languages and associated frameworks, with strong understanding of system design, API design, and data modeling concepts.

• Strong experience building distributed systems, RESTful APIs, and microservices in cloud environments.

• Experience with AI-driven systems, tools, or workflows, including safely integrating and operating AI/ML-enabled solutions that enhance product capabilities, recommendations, developer productivity, or operational workflows.

• Familiarity with CI/CD pipelines, infrastructure code, containerization technologies, and DevOps practices.

• Experience working on systems that integrate with multiple services or domains, ensuring reliability, scalability, and effective observability.

• Demonstrated ability to communicate technical decisions clearly to both technical and non-technical audiences.

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