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.
The AlloyDB team is part of Google Cloud Databases. Our mission is to build the world's best relational database for the cloud era. We are re-imagining the traditional Relational Database Management System (RDBMS) architecture by disaggregating compute and storage, allowing for independent scaling and excellent availability.
In this role, you will work on the core database engine. You will design and implement features deep within the stack—ranging from the Query Optimizer and Execution Engine to the Storage Layer and Transaction Manager. You will collaborate with Executive and Staff engineers to push the boundaries of what a relational database can do in the cloud.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about
benefits at Google.
Responsibilities
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- Experience with Distributed Systems concepts (CAP theorem, Consensus protocols like Paxos/Raft).
- Experience programming in C++ or C.
- Experience with databases (ACID properties, Isolation levels, Indexing structures, Join algorithms), memory management, pointers, and multithreading.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience hacking on the internals of an open-source database (PostgreSQL, MySQL, SQLite) or a storage engine (RocksDB, LevelDB).
- Experience with compiler theory, query optimization (cost-based optimization), or vectorized execution engines.
- Experience analyzing performance using standard benchmarks (TPC-C, TPC-H, Sysbench) and profiling tools (perf, eBPF).
- Understanding of lock-free data structures, latches, and thread synchronization.