Software Engineering Manager, Persistent Disk
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
Preferred qualifications:
- Experience in design, implementation and delivery of scalable infrastructure systems.
- Experience in owning and managing cloud level services and systems, with on-call rotations as support.
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.
The team builds and maintains the systems that help Google Cloud block storage and provides consistent performance across a multitude of offerings efficiently, including underlying system through which all block storage input/output flow through and what is used to define and enforce performance characteristics and limits for various block storage products, we own key optimizations and features within the input/output path to make sure key customer workloads use the underlying shared storage resources are used efficiently, and a block storage disk type that is ideal for large analytics workloads with high throughput.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Partner and collaborate with related engineering, product management, and program management teams to ensure the development of high-quality solutions in a timely manner.
- Lead a team of software engineers that design, develop, maintain and improve software.
- Attract, grow, and retain talent, providing technical direction and career growth opportunities.
- Inspire and motivate the team to work together as a cohesive and productive unit.
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