Principal Software Development Engineer

Expedia Group•Seattle, WA

1d•$231,000 - $369,500•Hybrid

About The Position

This role sits within Expedia’s Traveler & Partner Service Platform (TPSP) Product & Technology organization, which builds the core capabilities and experiences that power customer service across the Expedia ecosystem. TPSP enables both travelers and partners to receive high-quality, efficient service through a combination of human support and AI-powered experiences. We are looking for a highly influential engineering leader to help drive the technical strategy and execution for LLM-powered AI Agent servicing for Expedia travelers and partners, with experience building durable systems at scale and advanced Agentic AI engineering skillsets. This role will define and lead the transformation towards scalable, voice and chat based self-service experiences powered by AI agents—reducing customer effort while improving resolution speed, consistency, customer satisfaction, and operational efficiency. As a Principal Software Development Engineer, you will partner with key engineering, product and science leaders to influence product direction, and execute on the long-term technical vision for customer AI servicing, drive complex cross-functional execution, and build a culture of engineering excellence and innovation in the organization. You will operate as an indispensable leader, shaping how agentic AI is designed, governed, measured, and scaled across TPSP.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
10+ years of professional experience in software development building backend or full-stack systems in production.
Strong expertise in at least one modern programming language (e.g., Java, Kotlin, C#, Go, Python, or similar).
Proven experience designing and operating distributed, cloud-based systems (microservices, APIs, event-driven architectures, data stores).
Demonstrated ownership of end-to-end solutions from design through implementation, launch, and ongoing operations.
Strong skills in system design, data modeling, and API design, with the ability to make and explain trade-offs.
Experience with CI/CD, automated testing, and modern DevOps practices.
Excellent communication and collaboration skills, with a track record of influencing across teams and organizations.

Nice To Haves

Experience as a principal-level engineer or equivalent, setting technical direction for multiple teams or services.
Depth in one or more of: high availability and resiliency, large-scale data processing, performance optimization, security and compliance, or platform/infrastructure engineering.
Hands-on experience with public cloud platforms (e.g., AWS, GCP, Azure) and cloud-native technologies (containers, orchestration, service mesh).
Experience working in highly regulated or safety-/mission-critical environments, with strong attention to reliability and risk management.
Proven track record of mentoring and developing senior engineers, and contributing to hiring and talent development.
Familiarity with integrating data or ML-powered features into production services (e.g., recommendations, ranking, personalization, risk/fraud signals).

Responsibilities

Lead the architecture, design, and delivery of complex, distributed systems that power high-scale, mission-critical services.
Define and evolve technical strategy and roadmaps for your domain, making high-impact design decisions and setting engineering best practices.
Write and review high-quality, production-grade code (design, implementation, tests), and drive continuous improvements in reliability, performance, security, and cost efficiency.
Partner closely with product, program, and other engineering teams to translate business problems into end-to-end technical solutions.
Drive operational excellence, including observability, incident response, postmortems, capacity planning, and readiness for peak events.
Act as a technical mentor and multiplier, coaching senior engineers, influencing technical direction across teams, and raising the overall engineering bar.
Evaluate and introduce modern technologies, tools, and patterns (e.g., cloud-native architectures, CI/CD, data/ML integrations) where they add clear value.
Champion engineering quality, security, and compliance standards, ensuring solutions are robust, scalable, and sustainable.