Staff Software Engineer, Google Cloud Agentic AI
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Google
Google
Staff Software Engineer, Google Cloud Agentic AI
207,000–301,000 / Year
Location
New York, NY, USA
Experience
Senior
Posted
Jul 18, 2026
Apply by
August 17, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
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. 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + 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.
Key Responsibilities
- Lead the design of an intelligent launch assistant using Large Language Models and agentic AI.
- Collaborate with the Lead Product Manager to translate user journeys into scalable architectures.
- Replace fragmented trackers with a unified workflow engine featuring transparent criteria and automated SLAs.
- Replace manual questionnaires with a dynamic logic engine for Security and Compliance reviews.
- Build the back-end for a real-time executive dashboard tracking North Star metrics.
Requirements
- Bachelor's degree or equivalent practical experience
Skills Required
C++JavaPythonKotlinGoSoftware design and architectureSoftware testingSoftware product developmentLeadershipCollaborationVersatilityTech Lead experienceSenior Software Engineer experienceBuilding scalable internal platformsBuilding workflow execution toolsBuilding enterprise software development systemsIntegrating large language modelsIntegrating artificial intelligenceAutomating workflowsCollaboration with Product Management
Benefits
- 20% bonus target
- Equity
- Benefits
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