Senior Engineering Manager, Cloud Storage
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Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 3 years of technical leadership and people management experience.
- Experience designing and implementing distributed systems.
Preferred qualifications:
- 5 years of experience as a team manager.
- Experience with ML algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.
- Experience building infrastructure for models, diagnosis failures and performance analysis.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Responsibilities
- Manage and execute on the local GCSFuse team's main charter for AI/ML storage solutions, focus on AI/ML solutions, GCSFuse, FusionFS, Observability and Debuggability, benchmarking, performance investigation and storage optimizations and client side products.
- Develop and enhance AI/ML client side solutions for storage.
- Lead the team to design, develop and tune benchmarks for Google Cloud Platform (GCP) Storage systems with the goal to make GCP Storage the best for AI/ML workloads.
- Assist key customers in on boarding their AI/ML workloads onto GCP storage.
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