Google is looking to solve the problem of automating the detection of failures in their data center infrastructure, increasing up-time, reducing parts costs, reducing risk, and more efficiently operating the life-cycle of their hardware to deliver cost savings and enable new hardware every month. They also aim to redefine what's possible by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability, and velocity for their customers.
Requirements
- 8 years of experience in software development.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 3 years of experience in a technical leadership role; overseeing projects.
- Experience in data center technology and how data centers operate and run.
Responsibilities
- Lead a distributed team that builds the core monitoring infrastructure for Google's data center infrastructure.
- Contribute to the reliability of our existing ML and Cloud infrastructure as well as the next generation infrastructure that will support ML/Cloud.
- Define the multi-year road map for the team.
- Manage engineers across multiple teams and locations.
- Oversee the deployment of large-scale projects across multiple sites internationally.
- Automate the detection of failures in the data center.
- Find ways to increase up-time reduce parts costs reduce risk and more efficiently operate the life-cycle of our hardware.
Other
- 2 years of experience in a people management, supervision/team leadership role.
- 3 years of experience working in a complex, matrixed organization.
- Manage a team of Engineers.
- Manage your project goals, contribute to product strategy and help develop your team.
- Manage a large product budget.
