Software Engineer, Data Processing Infrastructure, Conduit

Mid • On-site

$141,000 - $202,000/yr

Sunnyvale, CA

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
2 years of experience implementing engineering best practices (e.g. design reviews, code reviews, testing)

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
1 year of experience with data structures or algorithms in either an academic or industry setting.
1 years of experience in player and streaming media technologies.
Experience with coding in C++, Java, Python or Go.

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. Our team's innovative work was recognized with Google Tech Impact Award in 2022, a testament to Conduit's significant contributions to the company.

In addition to the data processing capabilities, the team is committed to improving user experience around onboarding and pipeline management.

The US base salary range for this full-time position is $141,000-$202,000 + 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 scalable distributed infrastructure for batch and incremental data processing.
Leverage AI to improve the velocity, efficiency and reliability. Build ML infrastructures for Gen AI products.
Monitor, index and cache petabytes of data efficiently.
Build AI agents to simplify the data engineering E2E journeys.
Improve resource efficiency.

Google

Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.