Description
The Client Data & Networking Platform team owns the data layer of Airbnb's client tech stack, including the GraphQL runtime, client networking infrastructure, and the developer tooling built on top of it. Our frameworks and tools are relied upon by nearly every product team at Airbnb, and through education and clear guidance on best practices, the team shapes how frontend engineers across the company build and ship products.
As a frontend engineer on the team, you will empower Airbnb engineers to build fast, reliable, and data-rich features at scale. In close collaboration with product engineers, you will gain a deep understanding of their challenges and priorities, and use these insights to design and implement improvements to infrastructure and tooling that have a meaningful impact on the way teams build and deliver products.
Responsibilities:
- Partner with Airbnb product teams to understand their pain points, pilot proposed solutions, and drive adoption of paved-path tooling and frameworks.
- Work closely with Android and iOS engineers on the team to develop foundational, cross-platform solutions.
- Collaborate with a wide variety of infrastructure teams as well as support product foundation teams as they build additional capabilities on top of the team’s offerings.
- Participate in all phases of software development from architecture/design through implementation, testing, and on-call.
Your Expertise:
- 10+ years of industry experience.
- Extensive experience working with TypeScript to develop web applications, including designing and integrating with GraphQL and REST APIs.
- Experience on a Platform, Infrastructure, or Developer Productivity team at a medium to large engineering organization.
- Strong engineering fundamentals, including a solid understanding of client networking, performance optimization, caching strategies, client storage solutions, and asynchronous programming.
- Experience mentoring and growing engineers across an organization and driving best practices for web client development.
- Demonstrated ability to influence engineering strategy and shape technical priorities across a large organization.
- Interest in developing internal tooling and CLI (command line interface) applications. Experience building agentic AI solutions is a plus.