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X In most instances, this position requires in-person interviews as part of the hiring process.
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 jobKnowledge 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.
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 - 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.
