Senior Web Solutions Engineer, T&I Partnership Systems, YouTube

The YouTube GTMO T&I (Technology and Insights) focuses on the ever-evolving business and operations side of YouTube, providing the foundational tools and systems that enable thousands of internal users to support the growth of YouTube.

The Content Partnerships Systems team within T&I is the technical engine that powers YouTube's relationships with its global creators and partners. We develop the critical infrastructure and tooling used by Strategic Partner Managers to drive channel growth, manage complex portfolios, and optimize product activations. Our systems manage the end-to-end partner lifecycle—from propensity modeling and incentive tracking to complex CRM workflows—ensuring our business teams can deliver tailored, data-driven support to the creator ecosystem.

Google's Web Solutions Engineers (WSE) develop software-based solutions for complex business problems. We're looking for an experienced engineer who is interested in automation, building scalable solutions, and demonstrating deep software engineering best practices.

You will focus primarily on leading projects and delivering design, code and tests covering backend service architecture, high-throughput data pipelines, and API integrations that connect seamlessly with client web applications and partner portals. You are comfortable guiding and mentoring more junior engineers around you.

In this role, you will have opportunities to advocate ideas and drive them from ideation to delivery, working closely with leaders and other engineers in the organization. Solid communication skills are a must, as you will interact frequently and closely with our stakeholders from around the world and across different teams.

Minimum qualifications:

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

- 6 years of experience with backend languages (e.g., Java, Python, or C++).

- Experience working with database technologies (e.g., SQL, NoSQL).

Preferred qualifications:

- Experience working with, or an eagerness to master, agentic AI frameworks and LLM tooling (e.g., LLMs, Agentic harnesses, Vector Embeddings, and RAG).

- Experience with distributed data processing (e.g., BigQuery, Spark), event streaming (e.g., Kafka), and scalable communication protocols (e.g., gRPC, Protocol Buffers).

- Experience working with systems for collaborative code reviews, version control, continuous integration, and automated testing.

- Experience leading projects with multiple contributing engineers and delivering on-time, keeping leaders informed on progress and blockers.

- Familiarity with frontend frameworks (e.g., Angular, Lit, React) and client-server contract design and integrations.

- Design, build, and maintain backend service layers and APIs which integrate seamlessly with web-based client applications.

- Design and build AI-powered solutions using Google’s Agent Development Kit and other internal libraries, to solve complex business and engineering challenges. I dentify opportunities where AI or traditional systems can help with scalability and operational efficiency for human- and agent-centered workflows.

- Drive complex projects end-to-end across distributed time zones, executing independently and proactively. Align local and remote stakeholders and maintain strong momentum.

- Deliver high-quality code and tests, ensuring the reliability, security, and accuracy of deployed solutions, including testing and evaluation frameworks for deterministic and model-based outputs.

- Collaborate across time zones with a global team (primarily US and APAC). Act as a trusted technical representative on cross-functional projects.