Senior Software Engineer, Data Cloud Agentic Experiences
Summary
Senior Software Engineer on Google's Data Cloud Agentic Experiences team, building the end-to-end data connectivity control plane, zero-trust enterprise authentication/governance, and agentic AI skills that let enterprise users and autonomous agents in Gemini Enterprise discover, query, and analyze data across Google Cloud and multi-cloud lakehouses. Core stack: Python, distributed systems, and Ge
As a part of the Data Cloud Agentic Experiences team, you will empower enterprise users and autonomous AI agents in Gemini Enterprise and other surface areas to securely discover, query, analyze, and visualize structured and unstructured data across Google Cloud and third-party multi-cloud lakehouses.
In this role, you will build and operate the end-to-end data connectivity control plane, zero-trust enterprise authentication and governance foundations, and domain-specialized agentic skills transforming raw enterprise databases, semantic models, and data catalogs into grounded, citation-backed business answers at cloud scale.
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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
- Write and test 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.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience with Generative AI Agents and Large Language Models.
- Experience with Python, distributed systems, and enterprise applications.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 2 years of experience with state of the art GenAI techniques (e.g., Large Language Model (LLMs), Agents) or with GenAI-related concepts (language modeling).