Software Engineer, BigQuery Core, Managed Storage

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• - Health, dental, vision, life, disability insurance
• - Retirement Benefits: 401(k) with company match
• - Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• - Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• - Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• - Baby Bonding Leave: 18 weeks
• - Holidays: 13 paid days per year

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience in the following areas: Distributed Computing, Distributed Databases, Distributed Hash Table.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• Large Scale Distributed Systems experience.
• Experience working with database or storage systems.

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.
BigQuery is an exabyte scale cloud-based data warehouse. It is a multi-tenant system storing exabytes of user data. BigQuery storage is the component responsible for getting user data in/out of BigQuery, and how to automatically optimize its physical shape for scale, speed, and ease of use. Users ingest data into BigQuery in two modes: batch or streaming.
Our team is embarking on a multi-quarter effort to redesign our storage back end to scale by an order of magnitude more. In this role, you will work on core technical problems in distributed and storage systems, and make an impact on BigQuery, Data Analytics, and Google Cloud Platform.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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

• Design and implement storage components to support large-scale streaming ingestion.
• Design and implement algorithms to expand BigQuery’s DML capabilities.
• Design and implement tests and experiments to evaluate and monitor the performance of the system.
• Use the full battery of tools and instrumentation to develop, test, and rollout features.
• Coordinate with product engineers in all parts of the Software (SW) stack.

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 .