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.
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.
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.
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.
