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.

Preferred Qualifications

• Master's degree with 6+ years of experience in software development.
• Experience designing and evolving service or multi-service architectures at scale, including resiliency, fault tolerance, and performance optimization.full-stack decision-making
• Demonstrated leadership through mentorship, engineering community contributions, and cross-team collaboration.
• Hands-on experience with data-driven decision making, including defining metrics, using logging, monitoring, and analytics to guide iterations, and improving system health and user outcomes.
• A strong understanding of business needs, with a track record of identifying and solving team-level technical and organizational challenges.
• Demonstrated depth in one or more technical domains such as distributed systems, data-intensive services, recommendation systems, or full stack applications, while remaining adaptable across domains as business needs evolve.

Please note that this role is only available in Seattle, WA, in alignment with our flexible work model, which requires employees to be in the office at least three days a week. We are unable to offer relocation assistance for this role.

The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.

Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediggroup.com/life.