Senior Software Engineer, Database Internals AlloyDB

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.

Google Cloud Platform (GCP) consists of 5 major areas: Compute, Network, Storage (unstructured data), Databases (online structured data), and Big Data (offline data analytics). AlloyDB is part of the GCP Database area that focuses on relational databases, a business opportunity and growth accelerator for other GCP products.

AlloyDB is a new enterprise grade transactional database. This new product combines the familiarity of open source PostgreSQL front-end, with custom-built storage and query engines for availability, performance, security and manageability. The product unlocks a huge market opportunity for enterprise databases to move easily into the cloud, without sacrificing commercial DB features.

In this role, you'll play a critical role in designing and building a new relational database product, and delivering innovations in data management to a large set of 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

• Write and test 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.
  
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience across the following areas: relational databases, relational database management systems, distributed databases, storage, SQL.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• Experience with the programming language C/C++.
• Experience in performance benchmarking, code optimization/debugging, non-intrusive metrics collection and profiling.
• Experience in designing and developing large-scale distributed systems or relational databases in concurrency control, indexing, transactional systems, multi-threading and synchronization, compilers, query processing.
• Experience with internals of one or more open source databases, and experience with Postgres or MySQL, etc.
• Experience in designing, implementing, tuning and optimizing operating database management systems and in building managed services, especially DB or Storage.