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.
Automate 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 delivering XX million/year in savings while enabling new hardware every month. 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.
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or 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.
Qualifications
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.