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Careers to explore in Technology in 2022 and beyond

by Evalyne Ndanu
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There are numerous opportunities for 2022 and beyond in IT.  To remain relevant in IT, there is need to continually learn new technologies, gain training and practice, do certifications and evolve.

Here are some careers to explore in Technology in 2022 and beyond;

Artificial Intelligence (AI) Engineer

AI Engineers apply knowledge and concepts of machine learning and deep learning to develop systems and solutions to various problems in different working fields. As an AI Engineer, your task will be to develop and/ or oversee the development of intelligent algorithms able to complete the specified tasks at hand.

For this job, you must be well-equipped with the necessary skills and knowledge such as these;

  • AI Engineers strong background in Mathematics, statistics or a related field,
  • Must have advanced programming skills in different programming languages including python and R,
  • You must have sufficient knowledge working with Data science and Machine learning based technologies like TensorFlow,
  • Clear understanding of AI concepts and Algorithms as well as Machine learning and deep learning,
  • Building, testing and deploying AI models.

 

Full-Stack Developer

Full-Stack Developers are key in IT. Such a role requires someone with skills in every stage of IT development from concept to end product.

To gain a job as a Full-Stack Developer;

  • Well-versed in both front-end and back-end development,
  • Ability to design, develop and work with APIs,
  • Ability and sufficient knowledge Coding and scripting,
  • Good skills in web development and basics of database and technologies such as MongoDB, Express.js, AngularJS, and Node.js,
  • Ability to implement data security,
  • Communication skills.

 

Cloud Architect

Cloud Architects are seriously needed in IT to deploy and oversee the cloud computing strategy. Apart from good communication skills and knowledge needed in this role others include:

  • Good understanding of Cloud Application Architecture,
  • Knowledge of Amazon Web Services (AWS), Azure or Google Cloud Platform,
  • Knowledge of data and network security,
  • Database skills for example in MySQL and Hadoop,
  • Good command in programming languages like .NET and Java
Blockchain

Blockchain

Blockchain Engineer

Specialists in developing and implementing architecture and solutions using blockchain technology already in great demand for industries and geographies.

These Blockchain Engineers should have;

  • Proficient programming skills Java, C++, Python,
  • Good understanding of the technologies behind Ripple, Corda, Hyperledger, R3, Ethereum, Quorum, Bitcoin as well as consensus methodologies,
  • Adequate knowledge of security protocol stacks, crypto libraries and functions,
  • Good knowledge of data structures.

 

Big Data Engineer

These plans, designs and manages the entire lifecycle of large-scale developments and deployments of Big Data applications. The following skills and knowledge are a must have:

  • Knowledge in database systems, SQL and NoSQL;
  • Good understanding of Hadoop, Spark, and data warehousing technologies,
  • Adequate Programming and Data visualization skills,
  • Proper understanding of APIs,
  • Effective management skills.
Blockchain

Blockchain

Internet of Things (IoT) Solutions Architect

This is a key IT role for overseeing the strategy behind the development and deployment TECH.

Primarily, among requirements for this job, the following are a must have: to one should have;

Strong programming skills,

  • Ample understanding IoT solutions,
  • Proficiency in programming, Java, Python,
  • A good understanding of Machine Learning,
  • Cloud computing knowledge,
  • Ample knowledge of hardware design and architecture.

 

Data Scientist

A Data Scientist analyzes and interprets complex data to help organizations make better and timely decisions. As such, Data Scientists should be able to:

  • Analyze and Interpret Data,
  • Goods understanding of Mathematics, statistics and Computer science,
  • Proper programming skills for example in python,
  • Understand Machine Learning algorithms,
  • Create data models,
  • Data storytelling.

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