Posted on : 07 Apr, 2022, 11:32:55 AM

Top Amazing Cloud Computing Jobs To Apply For In April 2022

In the coronavirus outbreak, if there was any silver lining, it was the opportunity for cloud computing to shine. Whether it was the widespread use of a greater reliance on automated software or video conferencing services like Zoom, the cloud played a significant role and was one of the few industries that continued to hire. Cloud computing has become a must for all businesses in today's modern world, which is a software and database system that can be accessed from anywhere. Since the outbreak of the Covid-19 pandemic, the use of artificial intelligence technology, particularly cloud computing, has skyrocketed. Even though the world has moved on from the virus, artificial intelligence in business is not going away.

As a result, the need for cloud computing experts has increased. Companies are spreading the red carpet to welcome applications for cloud computing employment as the dependence on remote access grows. Cloud computing experts such as cloud architects, cloud engineers, cloud security analysts, cloud consultants, cloud automation engineers, and others find attractive jobs in excellent organizations. If you already have IT expertise and technical abilities and want to work in cloud computing, individuals need to keep an eye on the current trends that define competent cloud computing specialists.

Required skills for cloud computing jobs

A job in cloud computing may be obtained with a variety of skill sets. The more experienced individuals have, the more likely they are to acquire a job, although most of the learning may be done online, much like in certain IT jobs. Developing expertise in

Certain areas can help you achieve the following goals:

Amazon Web Services (AWS)
Java
Puppet
Ansible
Azure
Chef
Agile
VMware
Docker
Python

Back-End Developer

Back end developers perform web development activities that take place on the back end of programs; they encompass server-side web application logic and integration, as well as tasks such as designing APIs, creating libraries, and dealing with system components by writing code that allows a database and an application to exchange data. Developers are responsible for the website's backend, which includes databases, servers, and apps, and they have authority over what consumers don't see.

Qualifications for Back End Engineer

Capable of prioritizing multiple projects in order to meet goals without management oversight while meeting tight deadlines
Vast knowledge of PHP, Java, Python, Ruby, .NET, JavaScript etc
Familiarity with front side platforms such as JAVA, HTML5 and CSS3
Server-side experience with LESS and SASS
Understanding of server compliance and accessibility with a large capacity for attention to detail
Working experience with multiple platforms such as Mobile, Desktop, Tablet etc

Back-End Developer with an annual average salary

Minimum - $54,000/year
Average - $87,000/year
Maximum - $131,000/year

Apply here for the job.

Cloud Engineer

An IT expert who designs and maintains cloud infrastructure is known as a cloud engineer. Cloud engineers can work in a variety of jobs, including cloud architecting (creating cloud solutions for businesses), development (cloud coding), and administration (working with cloud networks).

Qualifications for Back End Engineer

Fluent in Python and a variety of programming languages, systems, and software.
Comfortable with Agile practices.
Able to work in an environment using cloud systems.
Strong computing and scripting skills.
Familiar with SaaS processes and products.

Cloud Engineer with an annual average salary

Minimum - $73,000/year
Average - $111,000/year
Maximum - $169,000/year

Apply here for the job.

Data Engineer

Data engineers are primarily responsible for translating data into an easily studied format. They accomplish this by creating, managing, and testing data creation infrastructures. Data engineers collaborate closely with data scientists and are primarily responsible for architecting solutions that enable data scientists to execute their jobs.

Qualifications for Data Engineer

Experience with big data tools: Spark, Hadoop, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Cassandra and Postgres.
Experience with workflow management and data pipeline tools: Azkaban, Airflow, Luigi, etc.
Experience with AWS cloud services: EMR, RDS, EC2, Redshift
Experience with stream-processing systems: Spark-Streaming, Storm, etc.
Experience with object-oriented/object function scripting languages: C++, Scala, Python, Java, etc.

Data Engineer with an annual average salary

Minimum - $76,000/year
Average - $112,000/year
Maximum - $200,000/year

Apply here for the job.

Data Scientist

Data scientists acquire and analyze enormous volumes of organized and unstructured data. A data scientist's job entails a mix of computer science, statistics, and arithmetic by evaluating the outcomes of data analysis, processing, and modeling to generate actionable strategies for businesses and other organizations. Data scientists pinpoint effective solutions to corporate difficulties by combining industry expertise, contextual insight, and skepticism of established assumptions.

Qualifications for Data Scientist

5-7 years of experience manipulating data sets and building statistical models, has a Master’s or Ph.D. in Mathematics, Computer Science, Statistics, or another quantitative field, and is familiar with the following software/tools:
Coding knowledge in multiple languages: C, C++, Java, JavaScript, etc.
Knowledge and experience in data mining and statistical techniques: GLM/Regression, Trees, text mining, Random Forest, Boosting, social network analysis, etc.
Experience querying databases and using statistical computer languages: SLQ, R, Python, etc.
Experience using web services: Redshift, Spark, DigitalOcean, S3, etc.
Experience creating and using advanced machine learning statistics and algorithms: regression, modeling, clustering, decision trees, simulation, scenario analysis, neural networks, etc.
Experience analyzing data from 3rd party providers: Site Catalyst, Coremetrics, Google Analytics, Crimson Hexagon, Facebook Insights, Adwords, etc.
Experience with distributed computing/data tools: Map/Reduce, Spark, Gurobi, Hadoop, Hive, MySQL, etc.
Experience presenting/visualizing data for stakeholders using: Business Objects, D3, Periscope, ggplot, etc.

Data Scientist with an annual average salary

Minimum - $82,000/year
Average - $117,000/year
Maximum - $200,000/year

Apply here for the job.

Development Operations Engineer (DevOps)

A DevOps Engineer works with both engineering and coding by collaborating with a company's numerous departments to develop and design solutions effectively while boosting the workplace by building and deploying systems software and analyzing data to improve current ones. A DevOps Engineer is responsible for balancing diverse components of a project, the majority of which are complicated concerns like network setup and programming.

Qualifications for Development Operations Engineer (DevOps)

Experience developing engineering applications for a large corporation
Demonstrated project leadership and development skills
A Master's degree in Software Engineering or Computer Science is preferred
Current understanding of best practices regarding system security measures
Advanced education and application of business analysis techniques and strategy
Experience with software engineering, civil engineering, and customer experience preferred
Working together with teams from several departments to facilitate the orderly execution of a proposed project plan
Professional experience with a high-level understanding of various operating systems and their implications
Professional work experience in project organization and team building

DevOps Scientist with an annual average salary