Top 9 Cloud Computing Careers of 2023 and How to get started.

Published by Nilofar Pathan on

Today we can know the trends in Information Technology. We discuss the various trends but now we discuss particularly the Top 9 Cloud Computing Careers of 2023 and How to get started.

Cloud computing touches many aspects of modern life, and the need for cloud professionals is great. Learn about the necessary skills and education for a cloud computing career.

Cloud computing services have developed and flourished more in the past five years than ever before. And that trend does not seem to be stopping now. The growth is still exponential, and the forecast is nothing else but pretty flowers and roses.

If you are in university not knowing what to go with for your master’s, this is one of the projecting choices. More and more companies and enterprises are moving their private storage to a public cloud of its simplicity and cost-efficiency.

Job Opportunities-

Here are some of the cloud computing job opportunities that are available to you in the cloud industry.

Cloud Architect (Average Salary: ₹2,13,196) 

Description: This is probably one of the most demanding jobs that you can take in the cloud industry. Architects are in very high demand, especially if they are good at what they do. Cloud architect knows his way around cloud environments; he knows how to build and design them. He also takes control of the major transition projects when companies are moving into the cloud. Like in any other job opening that includes development, cloud architects must stay up to date on the latest news and features of cloud architecture.

Qualifications: Bachelor of Computer Science (BCS), extensive experience in big data networks, designing, developing, and administrating virtual environments. Expert knowledge of Shell, VBScript, Perl, or Python.

Cloud IT Systems Administrator (Average Salary: $96,520)

Description: Maintenance and configuration of existing cloud systems. Planning, troubleshooting problems, and taking care that everything runs smoothly.

Qualifications: BCS, experience in system administration, knowledge of the administration of Windows desktop, server OS and MS Office. Good knowledge of operating with the Linux command line.

Cloud Systems Engineer (Average Salary: $88,695)

Description: Building and supporting both cloud and on-premise solutions, monitoring and optimizing performance, and resolving infrastructure break/fix incidents.

Qualifications: BCS or related technical degree, multiple years of experience in system engineering. Experience organizing and managing virtualization and cloud technologies, virtual desktop environments, and underlying technologies.

Cloud Software Engineer (Average Salary: $116,064)

Description: Success in this position will require outstanding architecture, coding, and DevOps skills, but also a passion for your work and the ability to succeed in a demanding environment. Building all distributed software related to the usage of cloud computing such as desktop and mobile applications.

Qualifications: BCS or engineering, experience in software development, ability in Python or Ruby, familiarity with Linux, expertise in AWS, Docker, and microservice architecture… Qualifications vary depending on what kind of project you are working on.

Cloud Security Engineer (Average Salary: $89,148)

Description: Work with Central clients to less serious information technology risks, participate in team problem-solving efforts and offer ideas to solve client issues, conduct relevant research, data analysis, and create reports, help establish best practices, and migration strategies, and work with engineers to build environments that adhere to industry best practices.

Qualifications: Bachelor’s Degree in Information Technology, Information Systems Security, Cyber security, or related field. 2+ years of relevant consulting or industry experience, experience with information assurance concepts and processes within the federal government, knowledge of and experience with centralized security regulations, standards, and processes.

Cloud Consultant (Average Salary: ₹1,36,000)

Description: Research new ideas, evaluate business area requirements, and advise IT management on various options.

Qualifications: Extensive experience over the years of working in IT consulting, understanding of cloud technologies and cloud services that are available on the market.

Cloud DevOps Network Engineer (Average Salary: ₹50,000) 

Description: Maintenance and optimization of network software and hardware. Network operations, fault investigation, and problem-solving will be part of your daily routine. Assisting customers with the integration of cloud-based services and their networks.

Qualifications: Degree in computer science or related, experience in network engineering, comprehensive understanding of BGP, EIGRP, OSPF, TCP/IP, Subnetting, DNS, DHCP, NAT, and routing. Knowledge of network protocols, ability to quickly comprehend and troubleshoot a variety of complex Layer 3 networks.

Cloud Product Manager (Average Salary: $90,000)

Description: Product managers serve as product champions by deeply understanding customer requirements and the market landscape, then converting these requirements and objectives with multiple product teams.

Qualifications: Degree in business, or computer science, 5+ years of product management or 7+ combined with software development experience, good communication skills, deep understanding of cloud storage, collaboration, and sharing features.

Sales Specialist (Average Salary: ₹614,451)

Description: Mastering the sales process is essential, and includes, but is not limited to strategic and tactical planning, and understanding client buying behaviors joined with accurate forecasting.

Qualifications: At least five years of sales experience across IAAS or PAAS with any cloud provider, competitive knowledge of AWS, Azure, Google, or Pivotal cloud solutions.

Sharing Some Recent Trends in IT –

 1. Green Computing: It is the study and practice of environmentally sustainable computing or IT. The goals of green computing are like green chemistry:  To reduce the use of hazardous materials  To maximize energy efficiency during the product’s lifetime  To recycle or biodegradation of non-functional products and factory waste. Green computing is important for all classes of systems, ranging from handheld systems to large-scale data centers.

2. Internet of Things (IoT): The Internet of Things (IoT) is the network of physical devices, vehicles, and specific tasks without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence.

3. Cloud Computing: It is the delivery of computing services – servers, storage, databases, networking, software, data analytics, and more – over the internet.

4. Data Analytics (DA): It is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the help of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories, and hypotheses.

 5. Artificial Intelligence (AI): It is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.

6. Machine Learning (ML): It is the scientific study of algorithms and statistical models that computer systems use to effectively perform many cases that offer greater statistical power, while data with higher complexity may lead to a higher false discovery rate.

7. Big Data refers to data sets that are too large or complex for traditional data-processing application software to adequately deal with. Data with home appliances, and other items embedded with electronics, software, sensors, actuators, and connectivity enables these things to connect, collect and exchange data creating opportunities for more direct integration of the physical world into computer-based systems, resulting in efficiency improvements, economic benefits, and reduced human exertions.

8. Blockchain is a growing list of records, called blocks, linked using cryptography. It can be defined as a distributed, decentralized, public ledger.

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