Senior Software Engineer, Data Cloud Agentic Experiences
Google· enterprise· Internet & Cloud Services· Oct 19, 2026 · 9d ago
Kirkland, WA, USA
In office
Full-time
Senior
$121K–$180K est.
5+ years exp
Job description
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.
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.
• 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.
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).
Application prep
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