Join the YouTube Business Technology team as a Web Solutions Engineer to drive efficiency across the organization. You'll be instrumental in developing and supporting tools, prototyping innovative concepts, and crafting technical designs.

This role is within an engineering team dedicated to enhancing the experience for YouTube's support communities, ultimately fostering greater ecosystem loyalty. We design and build a variety of systems used by support agents, partners, and users, focusing on delivering efficient and user-friendly solutions.

We are at the forefront of technology, blending cutting-edge engineering with creative problem-solving. Our mission is to empower everyone to share their stories and connect with the world, moving at the pace of culture.

Design, develop, and deploy robust full-stack web applications, ensuring reliable backend services and engaging front-end experiences.

Build data pipelines to aggregate information from various sources and optimize the performance of existing tools and services.

Analyze complex problems, devise effective solutions, and manage dependencies to ensure seamless implementation.

Contribute technically by writing and reviewing design documents, tests, and code in languages like JavaScript, Python, and TypeScript.

Serve as a subject matter expert, leveraging deep knowledge of Google's technologies, principles, and coding standards.

Collaborate with cross-functional teams to understand user needs and develop innovative technical solutions.

A Bachelor's degree in Computer Science, Electrical Engineering, Math, or a related quantitative field, or equivalent practical experience in software development.

Minimum of 4 years of experience in full-stack software development and system design.

Proficiency in front-end languages such as JavaScript or TypeScript.

Experience with backend languages including Java, Python, or C++.

Demonstrated experience working with database technologies like SQL and NoSQL.

Preferred qualifications include 4 years of experience in database design and optimization, as well as experience with cloud, containerized, or microservice architectures.

Ability to manage ambiguous requirements and influence both technical and non-technical stakeholders is essential. Strong systems fundamentals are required, with experience in agentic AI frameworks and LLM tooling, including LLMs, Agentic harnesses, Vector Embeddings, and RAG.