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Staff Software Engineer, Google Cloud Agentic AI

GoogleSunnyvale, CA, USA; New York, NY, USA
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++, Java, Python, Kotlin or Go.
  • 5 years of experience testing, and launching software products.
  • 5 years of experience in product development.
  • 3 years of experience with software design and architecture.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • Experience as a Tech Lead or Senior Software Engineer, building scalable internal platforms, workflow execution tools, or enterprise software development systems.
  • Experience integrating large language models and artificial intelligence into practical applications, and automating workflows or other creative use cases.
  • Ability to collaborate with Product Management to ensure engineering solutions are aligned with business goals.

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.

We are launching a massive, executive-backed transformation of our product introduction and software development life cycles. We need a Tech Lead to partner with our Lead Product Manager (PM) and architect the Tooling Work stream from the ground up.

In this role, you will replace fragmented legacy systems and manual toil with an intelligent, AI-enabled ecosystem. You will lead a fully-funded engineering team to build a malleable tool chain that delivers startup agility without compromising enterprise-grade security. If you want to eliminate friction for thousands of colleagues and define the industry’s new standard, this is your mandate.

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.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Lead the design of an intelligent launch assistant using Large Language Models (LLMs) and agentic AI to analyze technical documents and automate recommendations.
  • Collaborate with the Lead PM to translate user journeys into scalable architectures, driving the evolution from minimum viable product (MVP) to a fully automated end-state.
  • Replace fragmented trackers with a unified workflow engine featuring transparent criteria, blocker tracking, and automated Service Level Agreement (SLAs).
  • Replace manual questionnaires with a dynamic logic engine that triggers Security and Compliance reviews only when necessary.
  • Build the back end for a real-time executive dashboard tracking North Star metrics like velocity, quality, and throughput.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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