Software Engineer III, Storage Analytics
Google Sunnyvale, California, United States · $147K–$210K/yr
Software Development · 10,001+ employees
About the role
You will analyze and optimize Google's infrastructure storage systems by identifying inefficiencies and proposing architectural improvements. This role involves collaborating with research and data science teams to build prototypes and integrate advanced analytics and AI into production environments.
What they look for
Requirements
Candidates must have a bachelor's degree and at least two years of software development experience, including proficiency in C++ and Python. Experience with distributed systems, statistical analysis, and large-scale data infrastructure is required.
Benefits
Full description
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 statistical analysis and analytics frameworks.
- Experience with testing, debugging, and deployment in C++ and Python.
- Experience with distributed systems.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience with one or more of the following: analysis, databases, experimentation, networking, optimization, or storage systems.
- Experience in software development and operating systems.
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.
We are looking for a Software Engineer with a healthy knowledge or interest in large-scale data infrastructure and a keen curiosity to build expertise in our architectures to propose novel approaches for solving emerging challenges. You will pioneer next-generation designs by carrying out workload analysis, building prototypes, running experiments, and helping innovative ideas reach production alongside key technical leaders and stakeholders.
Through close collaboration with Research and Data Scientists across the team, you will expand your capabilities in Analytics, Modeling, and AI to deliver unique, critical impact to Google’s cloud platforms.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google. Responsibilities:
- Build a deep understanding of Google’s Infrastructure Storage System and how its components perform optimally using defined metrics, insightful statistics, and explanatory models.
- Characterize inefficient behaviors and irregular anomalies and identify the causes of such behaviors.
- Propose deployment efficiency improvements to the design architecture, system monitoring, resource provisioning, and production operations policies.
- Engage in research with leading academic institutions and industrial vendors and thus provide guidance to storage engineering functions.
