How much does a Microsoft data center technician make?
The typical Microsoft Data Center Technician salary is $26 per hour. Data Center Technician salaries at Microsoft can range from $22 – $40 per hour.
What degree do you need to work at a data center?
Employers often prefer to hire data center technicians with a bachelor’s degree in computer science or networking. This is a physically demanding job, and it can require lifting heavy equipment, working with cabling, and sometimes working non-standard or extended hours.
What is the Microsoft data center?
Microsoft datacenter server rooms are where the cloud’s computing and storage capacity live. Microsoft has more than 4 million servers in datacenters around the world.
What does a Microsoft data center technician do?
As a Data Center Technician, your job will be to install, maintain, and monitor network equipment and servers, and to solve the network issues which come up. You may also need to explain new features to traders, salespeople, and clients, as well as writing various troubleshooting tips for bugs or other reports.
What are Microsoft employee benefits?
Enjoy 15 paid vacation days, 10 paid sick-leave days, 10 paid U.S. holidays, plus two personal days every year. Accommodate your family’s needs with flexible work schedules.
What kind of jobs are at a data center?
Here is a short list of titles that have remained popular over the years:
- Data Center Administrator.
- Chief Architect.
- Cloud Architect.
- Data Engineer.
- Data Wrangler.
- DevOps Engineer.
- Full Stack Developer.
- Network Engineer.
What is required to be a data center technician?
Data Center Technician Requirements:
- Bachelor’s degree in computer science, information technology, or similar.
- CompTIA ServerPlus, CompTIA Network, or CCNP certification would be advantageous.
- 2-3 years of experience as a data center technician, or similar.
Does Microsoft build its own data centers?
Microsoft is also building new data centers everywhere from Fulton County, Georgia, and San Antonio, Texas, to Israel as it continues to expand its Microsoft Azure cloud offerings across the globe.
Does Microsoft own its own data centers?
Microsoft currently operates more than 200 datacenters. Its currently operating and planned datacenters are located in 34 countries worldwide, networked with more than 165,000 miles of subsea cable, officials said.
Where are Microsoft data centers?
Microsoft Azure Locations
- Microsoft Ireland. One Microsoft Place, South County Business Park, Leopardstown, Dublin 18, D18 P521, Ireland.
- Microsoft Quincy MWH.
- Microsoft Chicago Northlake.
- Microsoft San Antonio.
- Microsoft San Jose (Prospective)
- Microsoft Amsterdam.
- Microsoft Boydton VA.
- Microsoft Des Moines.
Is Microsoft a good employer?
By some estimates, Microsoft is also a great place to work. Glassdoor ranked the company No. The company made Glassdoor’s Best Places to Work list in 2019, 2018, and 2017. Microsoft has 4.3 stars out of 5 on Glassdoor, and 89% of employees and ex-employees would recommend the company to a friend.
What do you do in a Microsoft Data Center?
Data Center Data Center employees power Microsoft’s cloud services 24/7, 365 days a year. They’re responsible for designing, building, and operating our unified global Data Centers; managing the planning and capacity utilization of our unified infrastructure; and overseeing all the critical operations needed to run the physical infrastructure.
What makes you want to work at Microsoft?
Step in to explore the wealth of career opportunities and take your career to the next level. “At Microsoft, you’ll be empowered to work on things that you’re passionate about. You’ll be given autonomy. Your ideas will matter.”
How to search for remote jobs at Microsoft?
Ideas for your keyword search: hiring manager alias, job ID, “remote” for remote jobs, any skill or title, for example C++, AI, or “Program Manager.” Using double quotations (“”) searches for an exact phrase match. A comma separates multiple keywords.
Why do you want to work at Microsoft cloud?
“Crowdsourcing has the potential for major impact on the way we design machine learning and AI systems, but to unleash this potential we need more creative minds exploring novel ways to use it.” Cloud We’re as dedicated to our customer’s success as we are in innovating for the future.