Tech jobs have always been profitable, but as the digital environment changes and technology is used more and more in everyday life, especially in the aftermath of the COVID-19 outbreak, organizations are recruiting more quickly, and pay is competitive.
It has even become simple for Nigerians to find remote tech employment at high-paying tech businesses around the world. With work-from-home or a hybrid approach here to stay, companies need more and more assistance to better serve their clients in a constantly evolving digital ecosystem.
In almost every area, there are several high-paying roles available if you’re thinking about a career in technology. To assist you in choosing the ideal career path for you, we look at the highest-paid technology jobs in Nigeria in this post.
10. Product Manager
A product manager oversees the development of a product from conception to launch by coordinating the technical team on the features of the product.
Product managers are responsible for designing a product portfolio, managing and implementing marketing strategies, contributing to the vision of the product strategy, and developing an operational plan that can help achieve strategic and tactical goals and objectives.
They are in responsible of creating marketing materials, doing product demonstrations, and presenting presentations to customers and potential customers. They also describe the product so that the market can understand it.
Product managers are in charge of the initial stages of a product’s life cycle.
9. Full-Stack Developer
A full stack developer is in charge of creating APIs using MEAN stack technologies, ensuring the responsiveness and standard compliance of the generated apps, testing the integrity of the code, and implementing data security.
The most accurate description of a full-stack developer is someone who is skilled in both front-end and back-end programming, or who is knowledgeable about every stage of the development process, from concept to completion.
8. Cloud Architect
A cloud architect is an IT specialist in charge of a company’s cloud computing strategy. Plans for embracing the cloud are covered, as well as information on how cloud applications are designed, managed, and monitored.
The responsibility of the cloud architect includes creating a cloud-based platform, creating a cloud strategy, and managing deployment and implementation. They also ensure correct installations of applications in the cloud environment and application architecture.
7. Artificial Intelligence (AI) Engineer
An AI engineer creates, oversees, and manages an organization’s AI programs. For an AI engineer, a very solid foundation in math and statistics is necessary.
AI engineers conceptualize, create, build, and operationalize an end-to-end machine learning (ML) and AI pipeline. To build a solid AI framework that spans the whole organization, they could collaborate with developers, operations, security, data scientists, and data engineers.
6. Software Architect
By creating standards for code, tools, and platforms and making design decisions, a software architect speeds up the development process. They work to ascertain what a customer needs and hand-build prototypes as part of their duties.
A software architect is a software engineer in charge of making high-level design decisions about the structure and behavior of the entire system.
They frequently possess a thorough grasp of coding and programming languages, practical knowledge of database architecture and data modeling, and in-depth awareness of the software development cycle and related technologies. in addition to having a strong grasp of architectural and design trends.
5. Internet of Things (IoT) Solutions Architect
The Internet of Things (IoT) is a network of actual “things” that are connected to other devices and systems online by means of sensors, software, and other technologies. These devices vary from basic home goods to complex industrial machines.
IoT solutions architect is one of the best-paying and most well-known IT careers. The strategy that directs the development and application of IoT solutions is under the control of the architect. In addition to knowing IoT solutions, you must be an excellent programmer, have a working knowledge of machine learning, and be able to design and construct hardware.
4. DevOps Engineer
DevOps engineers build, test, and manage infrastructure and technologies to enable rapid software development and deployment.
A DevOps engineer adds methodologies, tools, and approaches to balance demands across the software development life cycle, from coding and deployment to maintenance and updates.
A DevOps engineer must be skilled in coding, script writing, network setup and management, Jenkins, and Git, as well as understanding of Linux or Unix system administration. A DevOps engineer may be responsible for shell programming in PHP, Python, and Ruby, as well as establishing and maintaining a deployment infrastructure and connecting cloud services to automate tasks.
Devops engineering is one of the highest-paying IT jobs.
3. Big Data Engineer
An information technology (IT) expert tasked with developing, constructing, testing, and managing complex data is known as a big data engineer. A big data engineer is a specialist who creates, manages, tests, analyzes, and assesses data for a business. Big data refers to extraordinarily huge data collections.
Internet users produce about 2.5 quintillion bytes of data per day. To collect and analyze such enormous volumes of data, over 97 percent of firms are investing in big data and artificial intelligence.
2. Blockchain Engineer
A blockchain engineer helps create, analyze, implement, and support a distributed blockchain network. They must be able to manage certain blockchain-based business models. On already-established blockchain platforms, applications created using blockchain technology operate. They are in charge of creating, designing, and maintaining both the front end and the back end.
A blockchain engineer’s responsibilities include gathering reliable information needed for a particular blockchain project, designing and developing applications using blockchain technology, testing and troubleshooting blockchain-driven projects, and maintaining the back-end and front-end of applications.
1. Data Scientist
Data scientists are in high demand, with a 344 percent increase in demand since 2013. A data scientist analyzes complex data to assist organizations in making faster, better decisions.
A data scientist is responsible for the following things: finding trustworthy data sources for business needs, creating machine learning algorithms, collecting both structured and unstructured data, finding missing data, organizing data into formats that are usable, and enhancing the data collection process, Learn how to code in analytic languages like Python, R, SAS, and others as well as machine learning techniques.
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