Cloud Engineer
One of the “Hot” careers today is Cloud Computing. It is the delivery of computing services such as servers, storage, databases, networking, software, analytics etc. over the Internet. According to an Industry report, in the next ten years, instead of keeping information system in-house, most companies will send their works to Cloud Computing providers to reduce costs, increase speed on updates and maintenance. The overall market value of Cloud service is estimated to be over $200 billion by 2020 and continues to grow beyond that.
For students in Computer Science, Software Engineering or Information System Management, this is a good area to get into. According to the report, most Cloud Computing Engineer make approximately between $86,500 (Entry level) to $124,300 (3 years or more of experience). There are several large Cloud Computing Providers such as Amazon, Microsoft, IBM, Google, Oracle etc. These companies are all aggressively open business all over the world to capture the market. Of course, they will need to hire more workers in the local areas.
Most Cloud Computing companies prefer people who have skills in Python, Java, PHP, .NET and Ruby. They must have knowledge in Database using database querying language (SQL, MySQL, MongoDB, etc.) to collect, store, update, modify, manage, and access data. Another important skill to have is the Information security such as the CISSP (Certified Information Systems Security Professional) to manage the system security. Many of these skills are also available in MOOCs, technical tutorial websites over the Internet if you cannot afford to go to school. You need to make sure that your training is not overly biased toward any single vendor or provider.
Since most cloud projects require strong integration skills between the company’s information infrastructure and the cloud platforms of the services company. A good Cloud Engineer must have soft-skills such as communication, presentation, teamwork, and collaboration that go beyond the technical domain.
Sources
- Blogs of Prof. John Vu, Carnegie Mellon University
