Senior Software Engineer - Cloud Firestore

Senior Software Engineer, Cloud Firestore, Google Cloud

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.

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 Firestore is Google Cloud’s flagship serverless document database, designed to unlock application innovation with simplicity, speed, and confidence. Powering over 1 billion monthly active users, Firestore is a foundational NoSQL service that features built-in real-time synchronization, offline data access, and a pay-as-you-go pricing model.

As part of the Google Cloud Database portfolio, our mission is to provide an enterprise-ready, highly scalable, and secure data store for the world’s most demanding mobile, web, and serverless applications. The Firestore engineering team focuses on deep internals including distributed query execution, global consistency models, and seamless integrations with the broader GCP AI and data ecosystem. We push the boundaries of distributed systems to ensure 99.999% availability and industry-leading security for our global customers

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.

As part of the Google Cloud Database portfolio, our mission is to provide an enterprise-ready, highly scalable, and secure data store for the world’s most demanding mobile, web, and serverless applications. The Firestore engineering team focuses on deep internals including distributed query execution, global consistency models, and seamless integrations with the broader GCP AI and data ecosystem. We push the boundaries of distributed systems to ensure 99.999% availability and industry-leading security for our global customers

Responsibilities

• 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.

Experience Level

Senior Level