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Minimum qualifications: Bachelor’s degree in Computer Science or equivalent practical experience. 5 years of experience with software development in C++, Java, or Go. 3 years of experience testing/launching software products, and 1 year of experience in software design. Preferred qualifications: Master’s degree or PhD in Distributed Systems or Database Internals, or a related field. Experience building and scaling high-availability managed cloud services and ability to troubleshoot complex, non-deterministic issues in petabyte-scale distributed environments. Advanced proficiency in performance-critical C++ and low-level resource management. Knowledge of NoSQL internals, wide-column stores, or distributed storage systems (e.g., Bigtable, HBase, Cassandra). Knowledge of distributed systems theory, including consensus protocols (e.g., Paxos, Raft) and consistency models. Tack record of mentoring engineers and optimizing engineering processes (e.g., CI/CD, testing) to drive team self-sufficiency. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 Bigtable is a core pillar of the Google Cloud Database portfolio, focusing on the high-scale NoSQL and Big Data space a multi-billion dollar market and a foundational service that powers Google’s own largest properties like Search, Maps, and Gmail. As a critical growth engine for enterprise data workloads, Cloud Bigtable provides the massive scalability and sub-millisecond latency required for the world’s most demanding operational and analytical applications.The Bigtable Engineering team contributes to the highly distributed storage engine, global replication systems, and advanced query routing layers that define the service. The team additionally focuses on enhancing the developer experience through high-performance database clients, robust tooling, and integration with open-standard frameworks.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 Drive the technical execution of mission-critical features within our core NoSQL engine. Design and implement high-performance C++ code to optimize storage, replication, and query layers at the petabyte scale. Refine engineering processes for the Bengaluru team, including Continuous Integration/Continuous Deployment (CI/CD) and on-call health to ensure a self-sustained, high-velocity environment. Own technical components ensuring seamless interoperability with the broader GCP data and AI ecosystem (e.g., BigQuery, Dataflow). Influence the technical roadmap for specific workstreams and identify new opportunities to leverage Bigtable architecture for emerging AI/ML needs. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 8 years of experience in software development. 5 years of experience in testing/launching products, with 3 years of experience in software architecture. Experience in NoSQL internals, wide-column stores, or distributed storage systems (e.g., Bigtable, HBase, Cassandra). Experience in performance-critical C++ and low-level resource management. Experience with deploying and managing cloud-based applications. Preferred qualifications: Master’s degree or PhD in Distributed Systems or Database Internals. Experience defining technical charters and engineering processes for geographically distributed teams. Experience in leading executive engineering teams in building and operating petabyte-scale managed cloud services. Experience with distributed systems theory, including consensus protocols (e.g., Paxos, Raft) and global replication strategies. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 Bigtable is a cornerstone of the Google Cloud database portfolio, focusing on the NoSQL and Big Data market. It powers Google’s services, including Search, Maps, and Gmail providing the scalability and millisecond latency required for global enterprise workloads. Bigtable offers a wide-column storage model that scales to petabytes with HBase Application Programming Interface (API) compatibility. It integrates with the Google Cloud ecosystem, including BigQuery, Vertex Artificial Intelligence (AI), tenable data processing and AI workflows.The Bigtable Engineering team develops the distributed storage engine, global replication, and query routing layers. The India team specifically drives the database control plane, kernel, and ecosystem integration. We push the boundaries of distributed systems to ensure availability and 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 Drive the architectural direction for core internals, including storage engines, global replication, and routing. Define the technical charter for the India team and establish self-sustained engineering processes to enable separate workstreams. Design mission-critical C++ code for database internals, focusing on petabyte-scale scalability and low-latency performance. Lead design reviews for high-stakes decisions on consistency models, resource isolation, and system reliability. Set standards for code quality and performance benchmarking while mentoring executive engineers. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.