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Staff Software Engineer, Gemini Cloud Assist, AI

Staff Software Engineer, Gemini Cloud Assist, AI

1 Hour ago • 8-14 Years • Full Stack Development • Research & Development

About the job

Summary

This Staff Software Engineer role focuses on building AI-assisted troubleshooting solutions (Gemini Cloud Assist) for GCP customers and internal support teams. Responsibilities include working with Support and Support Platform leadership, Product, and Engineering teams to improve troubleshooting quality. The role requires analyzing support and playbook data to identify key business problems, translating them into actionable questions, processing data, and communicating results to stakeholders. Cross-functional collaboration with Engineering, Product, Design, Operations, and User Research is crucial to identify opportunities for impactful analysis. The engineer will lead initiatives to improve data, tools, and methodologies, scaling the team's work beyond single product applications. The ideal candidate will have extensive experience in software development, data structures/algorithms, testing, launching software products, software design and architecture, and building software for data privacy or security.

5 skills required for this role

Test your skills to join the top 1% applicants for this job

algorithms

data-structures

user-research

networking

cross-functional

Must have:

8+ years software development experience
Data structures/algorithms expertise
Experience with software design & architecture
Data privacy/security software experience
Testing and launching software products
AI/ML knowledge and experience

Good to have:

Master's/PhD in Engineering/Computer Science
Technical leadership experience
Cross-functional project experience

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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 testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience building software for data privacy or security (e.g., identity and access management).

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in an organization involving cross-functional, or cross-business projects.

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 team is responsible for building AI assisted troubleshooting solutions as part of , catering to GCP customers as well as internal support teams to understand users intent, perform root cause analysis, and provide quality insights.

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

Work as an AI SWE, individual contributor, and leader on the Gemini Cloud Assist Troubleshooting team.
Work with Support and Support Platform leadership, Product, and Engineering teams to enable insights and data-driven decision making for driving Gemini Cloud Assist Troubleshooting quality for cloud customers.
Work with Support and playbook data to perform analysis, identify the most important business problems, translate these to tractable questions, process data, and perform analysis, and then communicate the results to stakeholders to inform the product direction.
Interact cross-functionally and cultivate partnerships with a wide variety of teams, work with Engineering, Product, Design, Operations, and User Research to identify opportunities for impactful analysis.
Lead initiatives to improve data, tools, and methodology, beyond the scope of a single product application, to help scale the team's work.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.