Senior Software Engineer, Cluster Management, Borg
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Minimum qualifications:
- Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
- 5 year of experience with performance analysis and optimization.
- 2 years of experience with Debugging, and Linux.
Preferred qualifications:
- 5 years of experience in software development.
- Experience coding in Rust, C, C++ and Python.
- Experience in concurrency, multithreading and synchronization.
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.
Borglet is on-machine agent, a part of Borg - Google's Cluster Management System. This means that we work on one of the most impactful software at Google, that affects all companies'workloads. Our mission is to improve Borg's efficiency, make it easy to use, scalable and secure.
Responsibilities
- Code in C++ programming language.
- Understand guest (virtualized) and host (hypervisor) environments and come up with secure solutions that connect both.
- Work with peers to identify, design, create and optimize software features that run on top of Google's hardware stack.
- Own functional areas where these solutions are associated.
- Lead design and build processes for infrastructure to automatically measure and detect regressions in key performance metrics at scale.
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