Software Engineer III, Storage Analytics

About the role

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

[https://www.google.com/about/careers/applications/benefits/].

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.