Senior Software Engineer, Cloud Spanner Batch

Google • Sunnyvale, CA

1d

About The Position

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.

Spanner is a globally-replicated, scalable SQL-aware database that provides
strong consistency guarantees and high availability. We are seeing an
unprecedented diversity of workloads from our customers that regularly stress
the core Spanner infrastructure at an increasingly frequent rate. What makes
this a particularly challenging problem is that these triggering workloads often
happen only at large scale.

The Spanner Batch team empowers customers to perform large-scale data processing
against their Spanner databases efficiently, reliably, and without impacting
live transactional workloads. Key initiatives include enhancing efficiency of
data modifications by developing improved mechanisms for read-modify-write
operations, creating more performant bulk data loading pathways (essential for
emerging AI/ML workloads), introducing advanced mutation semantics and data
lifecycle management features.

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 $166,000-$244,000 +
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 [https://careers.google.com/benefits/].

Requirements

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++, Python, Objective C, JavaScript, or Go.
• Experience designing and developing relational databases, database internals, information retrieval, query planning and execution.

Nice To Haves

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
• Experience with query compilers, plan generation, and execution engines with knowledge of GQL or Cypher.
• Understanding of concurrency control, consensus algorithms (e.g., Paxos), and data replication strategies.

Responsibilities

• Write product or system development code.
• 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.
• Design and develop ISO GQL query language new features (e.g., DML, DQL, DDL) on Spanner Graph and design and develop query engine performance optimizations on Spanner Graph.
• Work with internal and external customers and the go-to-market (GTM) team to enable deployment of production solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level