Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of experience with design and architecture, and testing/launching software products.
- Experience leveraging Generative AI and ML to build applications and enhance customer experiences.
- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of experience building and developing large-scale infrastructure or distributed systems.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
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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.
The Cloud Assist team is focused on delivering an intuitive, Gemini-powered experience to assist GCP customers in managing their applications in Google Cloud across a variety of products and services. We provide intelligent guidance to simplify application life-cycle management across design, deployment, troubleshooting, and optimization. Through Gemini, we enable translating multi-modal intents into applications that are easy to deploy, secure/governed by default, designed to be troubleshooting-ready, and built in-line with GCP best practices.
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.
Responsibilities
- Drive expanded product usage and adoption through technological solutions driven by AI and ML.
- Develop technology strategy and phased plans to drive product improvements or process simplifications.
- Partner with cross-functional leaders across Google Cloud to drive alignment and deliver customer value.
- Identify opportunities to leverage AI and ML, including Generative AI, to improve the cloud onboarding experience.
- Provide technical leadership across the Cloud Assist organization.