Senior Software Engineer, Cloud Firestore, Google Cloud
Google · Bengaluru, Karnataka, India
- On site
- Full-time
- $180,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Lead complex feature design and implementation.
- Solve scaling and reliability challenges.
- Ensure high code quality and reliability.
- Drive team velocity and process improvements.
- Integrate components with GCP services.
About the role
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.
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.
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.
Key skills/competency
- Senior Software Engineer
- Cloud Firestore
- Google Cloud
- Distributed Systems
- Database Internals
- Serverless Cloud Services
- NoSQL
- System Design
- Scalability
- Reliability
Skills & topics
- Senior Software Engineer
- Cloud Firestore
- Google Cloud
- Distributed Systems
- Database Internals
- Serverless
- NoSQL
- System Design
- C++
- Java
- Python
- Scalability
- Reliability
- Cloud Computing
- Software Development
How to get hired
- Tailor your resume: Highlight your experience with C++, Java, Python, distributed systems, and cloud services, aligning with Google's preferred qualifications.
- Showcase your projects: Demonstrate your software design, architecture, and large-scale system experience through a strong portfolio or GitHub profile.
- Prepare for technical interviews: Practice coding challenges, system design problems, and questions related to distributed systems and database internals.
- Understand Google's culture: Research Google's values, mission, and commitment to innovation and scale to articulate your fit during the interview process.
- Network and inquire: Connect with Google Cloud engineers on LinkedIn and ask specific questions about the Firestore team to gain insights.
Technical preparation
Master C++, Java, or Python thoroughly.,Study distributed systems concepts.,Practice database internals questions.,Design scalable system architectures.
Behavioral questions
Describe a complex technical problem solved.,How do you ensure code quality and reliability?,Share an experience leading a technical component.,How do you improve engineering processes?
Frequently asked questions
- What are the key technical skills for a Senior Software Engineer at Google Cloud Firestore?
- For the Senior Software Engineer role on the Cloud Firestore team at Google, key technical skills include proficiency in languages like C++, Java, or Python, extensive experience with large-scale distributed systems, cloud services, database internals (especially NoSQL and document stores), and a strong understanding of system design and architecture. Experience with high-availability, serverless architectures and performance-critical coding is also highly valued.
- What is the expected experience level for a Senior Software Engineer at Google Cloud Firestore?
- Google typically looks for candidates with at least 5 years of coding experience in languages like C++, Java, or Python. Additionally, 3 years of experience in software product development, maintenance, or launch, coupled with 1 year in software design and architecture, is generally required. Experience with large-scale infrastructure, distributed systems, or network development is also crucial, with a preference for Master's or PhD degrees in relevant fields.
- How does Google Cloud Firestore contribute to Google's mission?
- Cloud Firestore is Google Cloud's flagship serverless document database, empowering application innovation with simplicity and speed. It supports billions of users and is a foundational NoSQL service that enables real-time synchronization and offline data access. Firestore's mission within Google Cloud is to provide an enterprise-ready, highly scalable, and secure data store for demanding mobile, web, and serverless applications, pushing the boundaries of distributed systems to ensure high availability and security.
- What kind of impact can a Senior Software Engineer have on Cloud Firestore?
- As a Senior Software Engineer on the Cloud Firestore team, you will have a significant impact by leading the design and implementation of complex features within the core query engine and distributed storage layers. You'll innovate solutions for scaling and reliability, maintain high standards for code quality, and drive improvements in engineering processes. Your end-to-end ownership of technical components will ensure seamless integration with other GCP services, directly influencing the platform used by millions globally.
- What are the benefits of working on distributed systems at Google Cloud?
- Working on distributed systems at Google Cloud, particularly with a product like Firestore, offers the opportunity to tackle challenges at a massive scale that impacts billions of users. You'll be at the forefront of developing next-generation technologies, contribute to a foundational NoSQL service, and work with cutting-edge tools and infrastructure. The role provides ample opportunities for learning, growth, and switching projects, allowing you to continuously evolve your skills in a fast-paced, innovative environment.