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Software Engineer, Core Data Processing Infrastructure, Conduit

GoogleSunnyvale, CA, USA

Minimum qualifications:

  • Bachelor's in Computer Science, or related technical field, or equivalent practical experience.
  • 2 years of experience in coding with C++.
  • 2 years of experience with large-scale data processing.
  • 2 years of experience in working with streaming.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • Experience in coding with Java, Python or Go.
  • Experience in architecting and developing large-scale distributed systems.

About the job

Conduit is the foundation of Core Data Processing products, encompassing capabilities from batch, incremental, streaming, to real-time data processing. It has successfully replaced a multitude of fragmented and costly legacy data infrastructures and continues to grow in adoption. The team's innovative work was recognized with Google Tech Impact Award in 2022, a testament to Conduit's significant contributions to the company.

In this role, you are committed to optimizing user experience around onboarding and pipeline management.

The US base salary range for this full-time position is $147,000-$211,000 + 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

  • Build highly scalable distributed infrastructure for batch and incremental data processing.
  • Leverage AI to improve the velocity, efficiency and reliability. Build infrastructures for powering Generative AI products.
  • Index, monitor and cache petabytes of data efficiently.
  • Build AI agents to simplify the data engineering end-to-end journeys.
  • Lead joint projects with key clients across Google.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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