Razaq Kazeem @.Kazeem.R / 2:00 PM EDT. February 19, 2023.
It has been forecasted that 85% of the jobs that college graduates of 2030 will hold do not exist yet, which highlights the evolving nature of work. Consequently, skill sets will also have to adapt. The rise of AI and automation will play a significant role in this transformation as machines continue to expand their capabilities. Rather than merely automating manual tasks, intelligent machines fuelled by artificial intelligence (AI) will progressively assume responsibilities that involve critical thinking and decision-making.
The IT job market is changing fast, so be prepared to adapt to new industry trends. In fact, some experts predict that the next 20 years will see a transformation of our current workforce due to artificial intelligence and machine learning technologies.
As technology continues to advance at an unprecedented pace, the job market in the IT sector is also undergoing a significant transformation. With this in mind, staying informed about the latest trends is essential to ensure that you remain competitive in the industry.
Technology is constantly evolving; with each passing year, new innovations have been introduced that transform how we work and live. In 2023, we can expect even more advancements in the Information Technology (IT) field.
What technology trends is everyone looking for in 2024?
Janco Associates released a report on Friday indicating that the tech job market is anticipated to expand this year despite economic conditions and high-profile layoffs. However, the growth is predicted to be more restrained than in 2022. According to the company's projections, the IT job market will increase by 174,000 positions year-over-year in 2023, while employers added 186,300 IT jobs in 2022.
Victor Janulaitis, CEO of Janco, stated that CIOs and CFOs are looking to automate processes where feasible. Executives will endeavour to eliminate non-essential managers and personnel, but the demand for coders and developers will persist, as per Janulaitis in an email. Source CIODIVE
1. Artificial intelligence (AI).
Although the buzz surrounding AI has been in existence for quite some time, you may not realize its widespread presence if you aren't actively engaged in the technology industry. Smart algorithms are employed in various aspects of our daily lives, from browsing the internet, online shopping, navigating while travelling, deciding on entertainment options, scheduling, and accomplishing numerous other tasks - ranging from routine to innovation.
AI is a key trend in the IT job market, but it's not just about robots taking over our jobs. AI is a technology that helps computers to learn and make decisions. It has applications in many industries, including healthcare, finance and transportation.
AI can also help improve productivity by automating tasks or increasing efficiency by streamlining processes so they're more efficient than they would be without AI.
Artificial intelligence (AI) is a broad and rapidly growing field of computer science and engineering that focuses on developing machines that can perform tasks that typically require human intelligence, such as recognizing speech, understanding language, interpreting images and video, making decisions, and learning from experience. AI is achieved through a combination of machine learning algorithms, neural networks, and natural language processing.
Where is artificial intelligence used?
AI is becoming increasingly important in a wide range of industries, including healthcare, finance, transportation, and manufacturing. In healthcare, AI is used to analyze medical images and develop more personalized treatment plans for patients. In finance, AI is being used to detect fraud, analyze market trends, and automate financial transactions. In transportation, AI is being used to develop autonomous vehicles that can drive themselves, reducing the risk of accidents caused by human error. And in manufacturing, AI is being used to optimize production processes and improve product quality.
AI has the potential to transform many industries, but it also raises concerns about its impact on the job market, privacy, and security. As AI continues to advance, it is important for businesses and policymakers to consider the ethical implications of AI and to ensure that its benefits are distributed equitably.
AI job and salary scale.
Artificial intelligence (AI) jobs are in high demand due to the increasing reliance on AI and machine learning in various industries. Some popular AI job titles include Machine Learning Engineer, Data Scientist, AI Research Scientist, NLP (Natural Language Processing) Scientist, Computer Vision Engineer, and Robotics Engineer, among others.
Salaries for AI jobs vary depending on the specific role, level of experience, and location. According to Glassdoor, the average base salary for an AI Engineer in the United States is around $114,000 annually, while a Data Scientist can expect to earn around $117,000 annually. Salaries for AI Research Scientists can go as high as $146,000 per year, while Computer Vision Engineers and NLP Scientists can earn an average base salary of $128,000 and $129,000 per year, respectively. However, it's worth noting that these figures are averages, and salaries can vary widely depending on the company, industry, and location.
Overall, AI jobs offer a promising career path with competitive salaries and excellent growth opportunities in the long term.
2. DevOps Engineer
As businesses increasingly rely on technology, they also need professionals who can ensure that the systems and applications they rely on are running smoothly. DevOps engineers are responsible for automating the development process, ensuring that applications are tested and deployed quickly and efficiently.
A DevOps Engineer is responsible for combining software development (Dev) and operations (Ops) in order to streamline the entire software development process. This includes automating the entire process of building, testing, and deploying software, as well as monitoring the software in production to ensure that it is running smoothly.
Some of the key responsibilities of a DevOps Engineer include:
Developing and implementing automated build, test, and deployment processes
Working closely with development teams to ensure that software is delivered on time and to specification
Developing and maintaining deployment pipelines for applications in production
Monitoring application performance and ensuring high availability of services
Automating infrastructure management and deployment
Managing and maintaining configuration management tools such as Chef, Puppet or Ansible
Implementing and managing monitoring and logging tools
Ensuring that security policies and practices are implemented and adhered to
Collaborating with other teams such as development, testing, and operations to ensure the smooth operation of the entire software development lifecycle.
To be successful in this role, a DevOps Engineer needs to have a strong background in software development and infrastructure management, as well as experience with automation tools and practices. They also need to be able to work collaboratively with other teams and possess excellent problem-solving and communication skills.
DevOps Engineer Salary Scale in Canada.
The salary for a DevOps Engineer in Canada can vary depending on various factors such as location, years of experience, industry, and company size. In general, DevOps Engineers are in high demand in Canada, and their salaries are competitive with other tech roles.
According to data from Pay-scale, as of February 2023, the average salary for a DevOps Engineer in Canada is approximately CAD 67,000 to CAD 136,000 per year, with a median salary of around CAD 94,000. However, salaries can range from approximately CAD 53,000 to CAD 155,000 per year.
Factors that can influence the salary of a DevOps Engineer in Canada include:
Years of experience: Generally, more experienced DevOps Engineers can command higher salaries.
Location: DevOps Engineers in areas with a higher cost of living, such as Toronto, Vancouver, and Montreal, can expect to earn more than those in less expensive areas.
Industry: Different industries, such as finance, healthcare, and technology, can offer different salary ranges for DevOps Engineers.
Company size: Large companies may pay higher salaries to attract top talent, while smaller companies may offer more equity or other benefits.
It's worth noting that salaries can also vary depending on the specific skills and technologies a DevOps Engineer possesses. For example, a DevOps Engineer with expertise in cloud technologies such as AWS or Azure may command a higher salary than one without that experience. Additionally, benefits such as health insurance, retirement plans, and stock options can also impact the overall compensation package for a DevOps Engineer in Canada.
3. Cloud computing
Cloud computing is a way of storing data in the cloud, which means that you don't have to store your data on your own servers. Instead, you can use remote servers as storage locations for your files. This allows you to access them from anywhere and saves money on equipment costs by not having to buy new hardware when upgrading your business needs more storage space or bandwidth than what was originally installed by an IT department.
Cloud computing refers to the practice of using a network of remote servers hosted on the internet to store, manage, and process data instead of using a local server or a personal computer. In other words, it is the delivery of computing services, including servers, storage, databases, networking, software, and analytics, over the internet or "the cloud."
Cloud computing has become a popular choice for businesses and individuals as it offers numerous benefits, including scalability, flexibility, accessibility, cost savings, and improved security. Cloud computing providers typically offer a variety of services, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), among others.
Some examples of cloud computing services and platforms include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Dropbox, and Salesforce.
Cloud Computing Salary Scale
The salary scale for cloud computing professionals in Canada is similar to that of the United States, but it can also vary based on factors such as job title, location, experience, and skills. Here is a rough estimate of the average salaries for some common cloud computing job titles in Canada:
Cloud Engineer: The average salary for a Cloud Engineer is around CAD $90,000 to $130,000 per year, with the top earners making over CAD $180,000 per year.
Cloud Architect: The average salary for a Cloud Architect is around CAD $120,000 to $160,000 per year, with the top earners making over CAD $220,000 per year.
Cloud Developer: The average salary for a Cloud Developer is around CAD $85,000 to $120,000 per year, with the top earners making over CAD $160,000 per year.
Cloud Security Engineer: The average salary for a Cloud Security Engineer is around CAD $100,000 to $150,000 per year, with the top earners making over CAD $200,000 per year.
Cloud Consultant: The average salary for a Cloud Consultant is around CAD $90,000 to $140,000 per year, with the top earners making over CAD $180,000 per year.
Again, these figures are rough estimates, and actual salaries can vary depending on various factors. Additionally, it's worth noting that the cost of living in different parts of Canada can also have an impact on salaries.
4. Cybersecurity
Cybersecurity is a growing industry, and it's one that you can expect to see more IT professionals working in as the years go by. In fact, according to Indeed.com, cybersecurity jobs were among the fastest-growing occupations in 2023 (the most recent year for which data is available).
Security specialists are also expected to be in high demand; indeed.com lists them as one of its top-performing jobs this year--and they're expected to continue on that trend into 2023 as well.
Cybersecurity is the practice of protecting computer systems, networks, and digital information from theft, damage, or unauthorized access. Cybersecurity is an essential part of our daily lives because we use technology to conduct many of our personal and business activities, and the information we store and share online is vulnerable to attack.
Cybersecurity professionals are responsible for safeguarding digital information and systems by designing, implementing, and maintaining security measures to prevent cyber attacks. Some common cybersecurity job titles include:
Information Security Analyst
Cybersecurity Consultant
Network Security Engineer
Chief Information Security Officer (CISO)
Penetration Tester
Security Architect
Incident Response Analyst
Cybersecurity Project Manager
Security Operations Center (SOC) Analyst
The demand for cybersecurity professionals is increasing rapidly as cyber threats continue to evolve and become more sophisticated. According to various job reports, cybersecurity roles are projected to grow in demand in the coming years, with competitive salaries across the industry. The average salary for cybersecurity professionals varies depending on the job title, location, experience, and skills, but it is generally higher than the average salary in many other industries.
Cloud Computing Salary Scale in Canada 2023.
The salary scale for cybersecurity professionals in Canada is expected to remain competitive in 2023, with a projected increase in demand for skilled cybersecurity professionals. The salaries can vary based on factors such as job title, location, experience, and skills. Here is a rough estimate of the average salaries for some common cybersecurity job titles in Canada in 2023:
Information Security Analyst: The average salary for an Information Security Analyst is expected to be around CAD $75,000 to $120,000 per year, with the top earners making over CAD $160,000 per year.
Cybersecurity Consultant: The average salary for a Cybersecurity Consultant is expected to be around CAD $90,000 to $140,000 per year, with the top earners making over CAD $220,000 per year.
Network Security Engineer: The average salary for a Network Security Engineer is expected to be around CAD $80,000 to $130,000 per year, with the top earners making over CAD $180,000 per year.
Chief Information Security Officer (CISO): The average salary for a CISO is expected to be around CAD $150,000 to $250,000 per year, with the top earners making over CAD $350,000 per year.
Penetration Tester: The average salary for a Penetration Tester is expected to be around CAD $80,000 to $120,000 per year, with the top earners making over CAD $160,000 per year.
Again, these are rough estimates, and actual salaries can vary depending on various factors. Additionally, the cost of living in different parts of Canada can also have an impact on salaries.
5. Intelligent app development
App development is a growing industry. The demand for app developers has increased dramatically in recent years, and it's expected to continue on this trend as more and more people are using apps on their phones or tablets.
App development is a good way to get into the IT industry. If you want to get into this exciting field, but don't know where to start or how much money there is in it (and let's face it--you probably do), try out some programming classes at your local community college or university! You'll learn valuable skills that make it easier for you when applying for jobs later on down the line.
App development is also lucrative: according to Payscale Data Center, median hourly wages range from $19 per hour all the way up to $45 per hour depending upon experience level and location; however, those numbers can vary widely depending upon what kind of project(s) they're working on at any given time.
Intelligent app development refers to the process of creating applications that leverage advanced technologies such as artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and other intelligent algorithms to provide more personalized and responsive experiences to users.
Intelligent apps can help automate tasks, provide predictive analytics, offer personalized recommendations, and improve decision-making processes. These applications can be built for a variety of use cases such as e-commerce, healthcare, finance, and education.
Developers can leverage various tools and platforms such as TensorFlow, PyTorch, Microsoft Azure, and Amazon Web Services (AWS) to create intelligent apps. They can also use open-source libraries such as sci-kit-learn, NLTK, and spaCy to build natural language processing and machine learning models.
Intelligent app development requires a deep understanding of advanced technologies, data analytics, and user behaviour. Developers must work closely with data scientists, designers, and business stakeholders to create intelligent apps that solve real-world problems and meet user needs.
Intelligent App Development Salary Scale in 2023
The salary for intelligent app development in Canada can vary depending on a number of factors, including location, experience, and the specific technologies and skills involved. However, here are some estimated salary ranges for intelligent app developers in Canada, based on data from various salary aggregation websites:
Entry-level intelligent app developer: CAD 55,000 - 75,000 per year
Mid-level intelligent app developer: CAD 80,000 - 110,000 per year
Senior-level intelligent app developer: CAD 120,000 - 160,000+ per year
Note that these figures are only estimates, and actual salaries may vary based on the employer, industry, and other factors. Additionally, the cost of living and average salaries can vary widely across different regions in Canada, so it's important to consider the specific location when evaluating salaries.
The IT job market is changing fast, so be prepared to adapt to new industry trends.
The IT job market is changing fast, so be prepared to adapt to new industry trends. AI is replacing many IT jobs and will continue to do so. But it's not just a hot trend in the industry; it's also a good fit for many roles and some roles that don't quite fit traditional definitions of "software engineer" or "data scientist."
AI is an enabler for many types of business processes--it helps improve efficiency by automating repetitive tasks, making them faster and more accurate than humans can manage alone. And since AI learns from experience (and its own mistakes), it can learn how best to carry out your tasks without any additional training beyond what you give them initially!
As we enter the new year, it’s time to start preparing for what the future of IT might hold. The industry is continually changing and evolving at an unprecedented rate, so you need to push yourself to stay on top of trends and changing technologies. The best way to do this is by getting involved in these emerging job trends and researching their potential impact on your business today.
If you will like to learn more about the new IT trends and emerging technology, BusyQA will help you get started and be able to get ahead with DevOps engineering courses and others. Click here to get started.