Job description
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience
- Experience working with Unix/Linux, Windows or macOS environments, distributed systems, machine learning, information retrieval and TCP/IP
- Experience programming in C, C++, Java or Python
Preferred Qualifications:
- Bachelor’s degree or advanced degree in computer science or computer engineering
About the position
Google’s software engineers are developing next-generation technologies that are transforming the way billions of users connect, explore, and interact with information and each other. Our products need to process information at scale and go far beyond web search.
We are looking for engineers to bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale systems design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and gets longer every day.
As a software engineer, you will work on a specific you have the opportunity to rotate teams and projects as you and our fast-paced company grow and evolve. Our engineers must be versatile, exhibit leadership skills, and be enthusiastic about tackling new problems across the stack as we continue to advance technology.
Continued
As a key member of a small and diverse team, you will develop, test, implement and maintain software solutions.
Google is an engineering company at heart. We hire people with a broad range of engineering skills who are ready to take on the biggest technology challenges and impact users around the world. At Google, engineers are not just revolutionizing search, they are regularly working on scalability and storage solutions, large-scale applications, and entirely new platforms for developers around the world.
From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world with one technological achievement after another.
Responsibilities
- Research, design and develop software applications to enhance and improve Google’s product offerings.
- Contribute to a variety of projects leveraging natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
- Collaborate on scalability issues related to access to data and information.
- Solve challenges/problems as they arise.
About the Google Company
Google is currently the first name that comes to mind when entering the online world. Almost everyone who uses the Internet is familiar with the word and uses it in various ways, but relatively few know what Google actually is.
In reality, Google is a multinational technology company that provides users with free services and goods related to the Internet. Online advertising techniques, cloud computing for search, software, hardware, etc.
The history of Google in brief
In January 1996, Larry Page and Sergey Brin founded Google. Both were still doctoral students at Stanford College at the time. At that time the company was still called Google, the two doctoral students called it a search engine in their study. The term Googol is the precursor of Google. This search engine was based on comparing two related websites. Originally, Stanford College used this search engine, which was hosted on the institution’s main website.
Foundation of Google
One of the founders of Sun Microsystems, Andy Bechelshim, provided the initial funding for Google. It received this funding when Google had no market presence and was not making money. After he realised the success of the company, three other “angel investors” asked for funding.
These three angel investors were David Cheriton, a physics professor at Stanford University, Ram Sriram, an entrepreneur, and Jeff Bezos, the founder of Amazon.com. Following these investments in late 1998 and early 1999, Google received $25 million in funding on July 7, 1999.
There were several investors in this capital raise. Venture capital firm Kleiner Perkins Cofield & Byers and (Sequoia Capita) Sequoia Capita were two of those key investors.
Google Data Centre
A data centre is the space formed by multiple machines to store and analyse a large amount of information. It is also important to point out that the Google Data Centre looks like a large underground campus with massive disc drives, computer racks, internal and external network infrastructure, cooling systems and various applications.
Yes, Google has built numerous of these data centers around the world. Jackson County, Council Bluffs, Berkeley County, Douglas County, Douglas County, Lenoir, Mays County, Dallas, Henderson, Montgomery County and Reno all have Google centers in North America.
Evaluating the company’s total number of data centres in such a case is extremely difficult because it has increased significantly. Google’s data centre architecture now includes various servers. These include user-facing web servers, data collection servers in the form of web spiders, spell servers, index servers, and a separate ad server for advertisements.
Only a tiny minority of Google employees have knowledge of these data centers. However, Google is constantly providing information about the security of its users. You now need to know where Google’s data centers are located and what their general purpose is.
