Lead the design and implementation of complex features within Firestore’s core query engine and distributed storage layers.
Refine open-ended technical problems into tractable projects, generating innovative solutions for scaling and reliability.
Maintain high standards for code quality and system reliability through design reviews and performance benchmarking.
Identify and implement enhancements to local engineering processes such as CI/CD pipelines and on-call health to drive team velocity.
Take end-to-end responsibility for major technical components, ensuring seamless integration with GCP services like Vertex AI and BigQuery.
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
5 years of experience coding in one or more of the following languages: C, C++, Java, or Python.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Preferred qualifications:
Master’s degree or PhD, with a focus on distributed systems or database internals.
Experience building and scaling high-availability, serverless managed cloud services
Proficiency in performance-critical Java and low-level resource management.
Knowledge of NoSQL internals, document stores, or large-scale distributed storage systems (e.g., Firestore, MongoDB, Spanner).
Knowledge of distributed systems theory, including consensus protocols and consistency models.
