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.
- Experience with concurrency, multithreading or synchronization.
- Experience developing infrastructure and distributed systems in C++.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Experience working on database internals or storage or caching solutions.
- Experience with monitoring and hardening product data integrity.
- Experience analyzing and improving the performance of Input/Output (IO) and storage systems or internal database query processing.
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.
AlloyDB is an enterprise grade, cloud native, transactional database designed for high availability and performance. It is fully compatible with open source PostgreSQL but has custom Google-built storage and query engines.
In this role, you will be responsible for powering the storage engine in the distributed compute and storage architecture of AlloyDB. As traditional databases are moving into the cloud, we have the opportunity to rethink the fundamental database architecture, through specialized indexing and query engines, query accelerators, AI/ML for statistics and improvement, and other approaches. You will be able to invent and deliver innovations in data management, integrity, and protection to a large set of customers quickly and operate with experienced engineers to keep AlloyDB running smoothly for our customer's mission critical workloads.
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.
The US base salary range for this full-time position is $141,000-$202,000 + 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
- Work with tech leads and peers to drive long term technical direction as well as testing and hardening product data integrity.
- Own and drive the design and implementation of features and components across the database stack.
- Analyze end-to-end performance of distributed storage and working on short and long term projects to improve it.
- Active participation in the operation and maintenance of the database as a service, including troubleshooting and diagnosis of customer and service issues.
- Identify proactively and improve operation efficiencies by improving process and tool sets.