Senior Software Engineer, Data Cloud Agentic Experiences

Google LLC; Kirkland (WA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health & life insurance

401(k) match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Google LLC in Kirkland, WA is seeking a Senior Software Engineer for the Data Cloud Agentic Experiences team. You will help empower enterprise users and autonomous AI agents by enabling secure data discovery, querying, analyzing, and visualizing structured and unstructured data across Google Cloud and multi-cloud lakehouses.

You will build end-to-end data connectivity control plane, zero-trust authentication, and agentic skills to transform databases, semantic models, and data catalogs into

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of software development experience.
• 3 years of experience with large-scale infrastructure or distributed systems.
• 3 years testing, maintaining, or launching software products; 1 year with design/architecture.
• Experience with Generative AI Agents and Large Language Models.
• Experience with Python, distributed systems, and enterprise applications.

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.
• Contribute to existing documentation or educational content and adapt content based on product updates.
• Triage product or system issues and debug/track/resolve issues impacting hardware, network, or service operations.

Skills

Software development

Distributed systems

Python

GenAI & LLMs

Code review

Architecture design

Education

Bachelor's degree

Master's degree

PhD

Job description

Senior Software Engineer, Data Cloud Agentic Experiences

Share Senior Software Engineer, Data Cloud Agentic Experiences

corporate_fare Google place Kirkland, WA, USA

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

Required 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 .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.