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Software Engineer III, Knowledge Catalog For AI

Google, Kirkland, Washington

Posted pay

$147K–$210K

a year

Location: Kirkland, Washington
Work type: Onsite
Level: Not given
Posted: 10 days ago
Last check: 2 days ago
Job type: Software engineering

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About the job

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.

1 years of experience with applied AI/ML or GenAI technologies.
Experience with software development in one or more general purpose

programming languages (e.g., Java, C/C++, or Go, etc.).

Experience with Distributed Systems.

Preferred qualifications

Master's degree or PhD in Computer Science or related technical fields.
Experience with shipping 0-to-1 AI applications, with a holistic

understanding of product, quality, and infra.

Experience developing Cloud or SaaS products.
Knowledge of data warehouses, big data, SQL, and data governance.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Knowledge Catalog is the foundational context engine for the AI era. Designed as an always-on enterprise-wide catalog for AI, it serves as the single reliable source of truth for both human users and AI agents. By bridging the gap between raw data and true business meaning, we power Google's Agentic Data Cloud (demoed at Google Cloud Next ’26 - Agentic Data Cloud), enabling AI agents to reason, act, and execute on complex enterprise data. It provides universal business context and governance for your entire data estate. Data teams and AI developers use Knowledge Catalog to discover data, enforce policies and retrieve rich context for analytics and autonomous applications.

In this role, you'll empower AI agents across industry-leading Google Cloud and third-party data ecosystems, including 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 [https://www.google.com/about/careers/applications/benefits/].

Responsibilities

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.

Read the job posting on the Google site

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Source: the company job board. We last checked this job 2 days ago. We first saw it 2 days ago. A job on a job board does not always mean that the team interviews people now.

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