Senior Graph Platform Engineer - Cloud Spanner

Socket.dev; Sunnyvale (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Job summary

Google is seeking engineers to design and implement the next-generation Graph Query Engine on the Spanner Graph Platform. The role focuses on high-performance C++ for globally distributed, petabyte-scale datasets and involves collaborating with teams across enterprise and AI infrastructure.

You will bridge relational and graph paradigms, optimize query execution, and work with high-value customers to refine complex data architectures.

Qualifications

• Bachelor's degree or equivalent practical experience required.
• 5 years of software development experience in one or more languages.
• 3 years building large-scale infrastructure or distributed systems.
• Experience programming in C++.
• Experience with distributed databases, compilers, and database internals.
• Preferred: Master's/PhD, 5 years data structures & algorithms, accessible tech with strong unit economics, query compilers/optimizations (GQL/Cypher), and concurrency control concepts like Paxos.

Responsibilities

• Write and test product or system development code.
• Lead design reviews with peers and stakeholders to decide among technologies.
• Review code and provide feedback to ensure best practices.
• Contribute to documentation and educational content.
• Triage issues and debug across hardware, network, or service operations.

Skills

Software development

Data structures & algorithms

C++

Distributed databases

Compilers

Database internals

Large-scale infrastructure

Concurrency control

Paxos

Replication strategies

Accessible technologies

Query optimization

GQL/Cypher

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science or related field

Knowledge of data structures & algorithms

Job description

Google is seeking engineers to design and implement the next-generation Graph Query Engine on the Spanner Graph Platform. The role focuses on high-performance C++ for globally distributed, petabyte-scale datasets and involves collaborating with teams across enterprise and AI infrastructure.

You will bridge relational and graph paradigms, optimize query execution, and work with high-value customers to refine complex data architectures.