Senior Software Engineer - Machine Health

Application Instructions: In most instances, this position requires in-person interviews as part of the hiring process.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 Job 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 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 Responsibilities Learn more about benefits at Google . 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .