Senior Software Engineer, Data Cloud Agentic Experiences

About the role

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).

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.

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

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• 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.