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 job Google 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.