Software Developer III, Gemini Code Assist, Full Stack

Minimum Qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 2 years of experience with Google Cloud Platform.
• 2 years of experience with Enterprise Software Architecture.

Preferred Qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures or algorithms.
• Experience developing accessible technologies.
• Experience with Generative AI and Performance Optimization.

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 works on the development of GenAI based development tools that are propelling developers productivity, focusing on developing server code as well as Middleware code which implement functionalities that interact with Google latest LLMs.

As a Software Engineer, you will be passionate about delivering machine learning technologies to Cloud customers.

You will be working closely with researchers, engineers, and product managers from both Google Cloud AI and Google Research, developing challenging machine learning solutions that will contribute directly to Google's product excellence. You will develop features that integrate the next generation large language model with a balanced trade-off between performance and deployment constraints.

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.

You will be working closely with researchers, engineers, and product managers from both Google Cloud AI and Google Research, developing challenging machine learning solutions that will contribute directly to Google's product excellence. You will develop features that integrate the next generation large language model with a balanced trade-off between performance and deployment constraints.

Responsibilities

• Write and test product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide among available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, test-ability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.