Software Engineer, Cloud Bigtable SQL and Analytics

About the role

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 experience with compute technologies or storage.

• Experience in systems languages (C++ or Java).
• Experience with distributed systems concepts (concurrency, consistency

models, sharding).

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science or related technical fields.
• Experience designing public-facing APIs or libraries (CLI, REST, gRPC) with a

focus on backward compatibility and usability.

• Experience in how databases work under the hood (Query Processing, Query

Optimization, Storage Engines).

• Familiarity with SQL parsers, NoSQL paradigms (Cassandra, HBase, DynamoDB),

or data processing frameworks (Spark, Beam).

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.

Cloud Bigtable is Google’s fully managed, petabyte-scale NoSQL database, serving

as the low-latency foundation for the world’s most demanding applications. We

are currently undergoing a major strategic expansion: transforming Bigtable into

the Agentic Data Cloud Feature Store.

As a Software Engineer, you will help build the next generation of our Feature

Store. In this role, you will be at the intersection of database internals and

ML infrastructure and be responsible for designing and implementing core "SQL

for ML" capabilities—such as continuous materialized views, real-time counters,

and vector search (ANN)—enabling customers to move from traditional ML to modern

agentic application development. You will be building high-performance,

scalable, and reliable distributed systems and includes participation in a

production on call rotation to ensure service health.

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.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide

amongst available technologies.

• Review code developed by other developers and provide feedback to ensure best

practices (e.g., style guidelines, checking code in, accuracy, testability,

and efficiency).

• Contribute to existing documentation or educational content and adapt content

based on product/program updates and user feedback.

• Triage product or system issues and debug/track/resolve by analyzing the

sources of issues and the impact on hardware, network, or service operations

and quality.