Join YouTube Create as a Senior Staff Software Engineer and shape the future of how billions connect with information and each other. This role is pivotal in developing next-generation technologies that extend beyond traditional web search, impacting massive-scale information handling.

At YouTube, we empower individuals to share their stories and connect globally. We operate at the intersection of technology and culture, driven by a shared passion for showcasing the world. We embrace innovation, tackle complex challenges, and foster a collaborative environment.

As a key member of our team, you will contribute fresh perspectives from diverse areas like distributed computing, system design, AI, and more. You'll have the opportunity to work on critical projects, switch teams as the business evolves, and lead technological advancements.

Spearhead the product's long-term vision and roadmap, providing expert technical guidance to a team of approximately 40 engineers on the YouTube Create App in Bengaluru.

Champion best engineering practices across YouTube, offering technical leadership and mentorship to team leads and managers.

Co-own the delivery of OKRs and roadmap initiatives, fostering seamless integration and alignment across multiple work streams.

Drive collaborative efforts across organizations, ensuring that strategic directions and decisions support unique product differentiation and success.

A Bachelor's degree or equivalent practical experience is essential, alongside a minimum of 8 years in software development.

Demonstrate 7 years of experience in building and developing large-scale infrastructure, distributed systems, networks, or expertise in compute technologies, storage, or hardware architecture.

Possess 3 years of full-stack development experience, encompassing back-end proficiency in languages like Java, Python, or C++, and front-end skills including JavaScript, TypeScript, HTML, and CSS.

Preferred qualifications include a Master’s or PhD in a related technical field, 8 years of experience with data structures and algorithms, 5 years in a technical leadership capacity, and 3 years of experience in complex, matrixed organizations.