Minimum qualifications:

• Bachelor's degree in computer science, engineering or equivalent practical experience.

• 8 years of experience in application development.

• 5 years of experience with data management, data governance, data architecture, data analysis, data profiling, data quality, and system integration.

Preferred qualifications:

• Experience in full-stack enterprise application development.

• Experience in hardware quality and reliability domains.

• Experience in Machine learning and advanced analytics.

• Experience with programming in SQL, Machine Learning, Extract, Transform, Load (ETL), server side application development, and client side UI scripting.

In this role, you will develop and maintain our data centers to build the next generation of Google platforms. You will keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $134,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 (https://careers.google.com/benefits/) .

• Lead the development of a custom problem-solving application, including the UI, APIs, server side code, and web-based visualizations.

• Lead strategy and execution across data acquisition, data quality, ETL, and data preparation.

• Design and implement advanced problem-solving and machine learning models.

• Engage with stakeholders and gain an understanding of business needs to ensure needs are met as efficiently and timely.

• Incubate, prototype, and iterate in this space to bring new ideas to production.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.