Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development.
- 5 years of experience with programming.
- 5 years of experience in coding with C .
- 3 years of experience with Large-Scale Distributed Systems.
- 3 years of experience with data analysis.
Preferred qualifications:- Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience with Python.
- 5 years of experience with databases.
- 3 years of experience with SQL.
- 3 years of experience with data visualization.
- 3 years of experience with hardware.
About the jobAutomate the detection, mitigation, and repair of hardware in the data center. We find innovative ways to increase uptime, reduce parts costs, reduce risk, and more efficiently operate the life-cycle of data center hardware. We are a key component in making Cloud cheap and reliable for Google's internal and external customers. This team specifically focuses on machines be it ML, Compute, Storage etc. and their life-cycle in data centers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Manage the machines life-cycle right from the moment the machine enters the data center floor.
- Own and manage the workflows that help get it to serve customers needs by turning it up, mitigate, repair and upgrade the machines when needed, and finally decommissioning machines when end-of-life.
- Manage through large distributed systems reliably and safely and ensure the ML, compute and storage capacity to all the Google products and cloud customers.
- Own and support workflows that provide a repair platform for both machine, networking and power/cooling devices on the data center floor.
