Kirkland, WA, USA; Sunnyvale, CA, USABenefits
- Equity
- Bonus
Skills
Nice to have
Full job description
Description
As a part of the Knowledge Catalog, you will work on the foundational context engine for the AI era. In this role, you will work on an always-on, enterprise-wide catalog for AI that serves as the single source of truth for both human users and AI agents. As a part of the team, you will help bridge the gap between raw data and true business meaning, powering Google's Agentic Data Cloud (demoed at Google Cloud Next ’26 - Agentic Data Cloud) and enabling AI agents to reason, act, and execute on complex enterprise data. You will provide universal business context and governance for your entire data estate as Data teams and AI developers use Knowledge Catalog to discover data, enforce policies, and retrieve rich context for both analytics and autonomous applications.
In this role, you will empower AI agents across industry-leading Google Cloud and third-party data ecosystems (BigQuery, lakehouses, operational databases, etc.).
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Requirements
Minimum qualifications
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
- 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
- Experience with Artificial Intelligence, Generative AI, and Generative AI Agents.
- Experience with distributed systems and software architecture.
Preferred qualifications
- Master's degree or PhD in Computer Science or related technical fields.
- Experience developing Cloud or SaaS products.
- Experience with shipping 0-to-1 AI applications, with a holistic understanding of product, quality, and infra.
- Knowledge of data warehouses, big data, SQL, and data governance.
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