Software Engineer III, Knowledge Catalog For AI

Google; Kirkland (WA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Dental & Vision coverage

401(k) with company match

Paid time off

Sick time

Job summary

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information. This role focuses on scalable infrastructure, AI-enabled data services, and cross-functional collaboration across Google Cloud.

You will work on critical projects, switch teams as needed, and contribute to the Knowledge Catalog and Agentic Data Cloud initiatives that power enterprise data and AI workloads.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with large-scale infrastructure, distributed systems or networks.
• 2 years of software development experience or 1 year with an advanced degree.
• 1 year of experience with applied AI/ML or GenAI technologies.
• Experience with Java, C/C++, or Go and distributed systems.

Responsibilities

• Write product or system development code.
• Participate in or lead design reviews to select technologies.
• Review code and provide feedback to ensure quality and testability.
• Contribute to documentation and educational content.
• Triaged product or system issues and debug to maintain quality.

Skills

Distributed systems

Applied AI/ML experience

Software development fundamentals

Cross-team collaboration

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD (Preferred)

Tools

Java

C/C++

Go

Job description

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

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 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

Responsibilities

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .