Software Engineering Manager
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Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 5 years of leadership experience and managing people.
Preferred qualifications:
- Experience in data analytics, warehousing, ETL development, data science or other Big Data applications.
About the job
A line of code can be many things - an amazing feature, a beautiful UI, a transformative algorithm. The faster this line of code reaches millions of users, the sooner it impacts their lives. As a Software Engineer, Tools and Infrastructure, you will be at the heart of Google’s engineering process building software that empowers engineering teams to develop and deliver high quality products quickly. We are focused on solving the hardest, most interesting challenges of developing software at scale without sacrificing stability, quality, velocity or code health.
We ensure Google's success by partnering with engineering teams and developing scalable tools and infrastructure that help engineers develop, test, debug and release software quickly. We impact thousands of Googlers and billions of users by increasing the pace of product development and ensuring our products are thoroughly tested. We are advocates for code health, testability, maintainability and best practices for development and testing.
Having access to all of Google's platforms and vast compute resources provides a unique opportunity to grow as an engineer. We typically work in small, nimble teams that collaborate on common problems across products and focus areas. As a result, the exposure to this broad set of problems provides technical challenges as well as accelerated career growth.
Responsibilities
- Manage a team of Software Engineers to solve some of Photos and Google One's most critical analytics and experimentation challenges.
- Foster a collaborative partnership with stakeholders including Data Scientists, Analysts, and Strategy, Core partnerships with CoreData, to carve out and execute on long-term strategy.
- Build and enhance self-serve tools to help other teams create and manage data pipelines that generate metrics.
- Creating critical dashboards for visualization, and helping others create dashboards.
- Work on Analytics infrastructure, which also is a core infra in the ML life cycle.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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