Senior Software Engineer, Cloud Business Platform, Gemini Enterprise - Sunnyvale, CA, USA
1 day ago
Job description
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in Python or Java.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience with cloud platforms (e.g., Cloud Computing Platform, GCP, ) and MLOps practices.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 8 years of experience in software development, with a focus on AI/ML technologies.
- Experience deploying AI solutions for enterprise applications through Generative AI, Large Language Models, natural language processing or agent-based systems.
- Experience with agile development methodologies.
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 manage information at a 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.With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
In this role, you will drive business transformation through "Google-on-Google" AI. Your primary mission is to establish Gemini Enterprise as a daily internal habit for all clouds by building a secure, and highly useful ecosystem of AI Agents. You will own the technical direction for agent development, infrastructure integration, and the evolution of GCBP's Gemini Enterprise instances.
In this role, you will navigate the technical landscape, balancing needs for dedicated, high-security instances with the long-term goal of migrating to a shared multi-tenant platform. You will influence beyond yourself, setting priorities for AI workstreams and acting as a critical point of contact for cross-functional partners.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.
The US base salary range for this full-time position is $166,000-$244,000 + 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
- Design and build sophisticated AI Agents that connect to critical internal systems such as salesforce vector, cloud connect, and oreo to automate business workflows.
- Develop and maintain the CI/CD processes necessary for autonomous agent deployment and management, reducing central bottlenecks and enabling rapid iteration for stakeholder teams.
- Build and optimize data pipelines to track individual agent performance and user-level analytics, providing actionable insights that the default Google Cloud Platform (GCP) console currently lacks.
- Mentor engineers, conduct rigorous code reviews, and help set the technical standards for the GCBP AI ecosystem to ensure long-term maintainability and scalability.
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