Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products.
- 5 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.
- Experience integrating generative AI tools or LLM interfaces into workflows.
- Experience in software engineering, generative AI agent, and cross-functional collaboration.
Preferred qualifications:- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience with data engineering/large data set transformation and curation.
- Experience with C .
About the jobThe Cloud Optimize team provides cost and performance optimization to Google Cloud Platform (GCP) customers. To do this we rely on a unique set of data and pipelines from other Cloud Products across GCP. You will help lead the efforts to envision these datasets, join with existing datasets, and provide the data to all first-party and third-party agents who need them.
Optimization spans cost, performance, and capacity for projects and applications developed on GCP. Our outlook is to help developers autonomously optimize their applications for cost, performance, and capacity. We do this by developing agent skills and tooling for use with Gemini models.
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 - Provide technical leadership on high-impact projects.
- Manage project priorities, deadlines, and deliverables.
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
- Work with partners across GCP. Develop and launch data pipelines that feed our GCP-native AI Agents.
- Develop and launch APIs and MCP servers to make our data available to first-party and third-party agents.
