Software Developers have a total population of 26.4 million worldwide in 2019. It is going to witness an exponential rise in the coming years, thanks to the relevance and need of data science, software development, and cybersecurity, according to reports by Evans Data Corp in its latest Global Developer Population and Demographic Study.
Trends show that emerging technologies like artificial intelligence, automation, virtual reality, cryptocurrency would be the catalyst for the pressing need for jobs in engineering, product, data science, marketing, and sales. Since with every passing second, more and more traditional organizations are starting to enforce and embrace high-end technology like any successful IT company in the market, be it health care to finance as it streamlines the workflow as well as reap sweet rewards and returns. Such situations would only open and have already opened new frontiers for skilled software developers to reach with the perfect balance of technical and soft skills in them.
1. Data Scientist
Companies hiring Data Scientist
Termed as the #1 In-Demand Career profile for 3 consecutive years in USA, data science is a stream in software engineering which revolves around the creation of relevant data based on enormous amounts of data of the user behavior, market trends, etc. This study has proved to be revolutionary in e-commerce, health, and financial industries.
Using statistics and software engineering aptitude, the experts gather, analyze and represent the data to collect relevant insights which, when taken consideration in decision making can boost the organization’s yield and individual returns. Few people understand that Machine Learning is also a subset of the data science branch, that is used to make predictions about the trends based on data recovered in the past, put it to accuracy test and finally optimize the algorithms to enhance the process of further predictions. Since such intricate scope of work requires a lot (or the best of) software, coding, and mathematics in each step, software engineers are the first choice in such scenarios by the organizations.
2. Cybersecurity Engineer
In recent times when the industry leaders are prone to and witnessing all kinds of data breach issues and threats, other organizations put a keen interest in getting their products and services resistant and foolproof to such potential dangers.
Internet of Things security has become essential in every field as we are now surrounded by grids of connected devices all around us, thus making the system more vulnerable to exploitation. Companies are always on the lookout for resourceful software engineers who can ensure them of a stronger and active layer of security without compromising on the quality.
3. Machine Learning Engineer
This is one of the core areas of Artificial Intelligence which empowers computers to grow self-aware and to stay in self-learning mode without being explicitly programmed. As the equipment is exposed to new sets of data, they learn, grow, change and develop insights and data by themselves.
For example, Machine Learning works in the cases of the self-driving Google car, cyber fraud detection, friend suggestions on Facebook, Netflix showcasing the movies and shows you might like and Amazon showing product suggestions for you!
Machine learning engineer can draw valuable data from analyzing the web search results, real-time ads on devices, email spam filtering, pattern and image recognition. Such detailed processes rule out the old ways of data analysis (which is basically on hit and trial) – Machine learning holds the stopper to the chaotic data process by developing fast, efficient algorithms and real-time data models to deliver accurate targets and analysis.
Such skill requires a poignant knowledge in technology, coding and even at times mathematics. All the three fields are some of the essentialities of every software engineer.
4. Full Stack Developer
As per Indeed, full stack developer is one of the most in-demand job postings category by employers of recent times. Full Stack Developers cater to the entire project right from designing the concepts to deploying the product appropriately – rather than having separate backend and frontend teams assigned on it.
How to become a rockstar data scientist
The front end layer primarily focuses on the client’s experience at first and then the following user response, while the backend focuses on the logic of the web app. From writing the right backend languages to ensuring a relevant thesis to it all, this is the server side of the application. And finally, database development and maintenance.
5. Python Developer
Source – Payscale US
With the rise of AI and Machine Learning technologies, Python as a language in on-demand for its flexibility, ease of learning, and has a large developer community and brevity – making it easier to write great code. According to studies, it has been observed that Python codes can cut development time by up to half. This is one prominent reason companies are turning to Python in more significant numbers every day. Additionally, Python supports many styles of programming, including object-oriented, functional, and procedural. Such a wide array of libraries exists to help machine learning as well as data analysis and visualization – all vital features in an IT industry increasingly impacted by data science.
In recent times, more and more startups and new apps are looking for Python rather than PHP. A recent study by the European tech talent landscape says that engineering positions were ranked as the most difficult to fill, and 43 percent of survey respondents said that it was because of the lack of any specialist or technical skills. Python developers emphasize code readability and increase productivity while used for desktop apps, web apps, and data mining. For example, in October 2016, Microsoft launched the beta version 2.0 of its Cognitive Toolkit open-source deep-learning framework, that includes support for Python.
6. Java Developer
Oracle reports confirm that there are more than 9 million Java developers across the world, as Java continues to dominate the enterprise and because of the growing cloud technologies. Java, just like Python, is easy to learn as well as is quick to write, compile, debug, and learn when compared to other programming languages.
Be it FinTech, Big Data, Banking, Stock Markets, Retail, Android industries, Java is present everywhere and is relatively secured language as there are no explicit pointers used, and all the programs are run inside the sandbox to protect them from any untrustworthy sources. Java develops a virus-free system and converts all the codes into byte codes which are not easily readable by humans. Apart from the same, Java is known for its portability, which can efficiently execute on several operating systems without any further installations.
7. Cloud Engineer
Since 2015, the job postings remain up for employers according to Indeed, as in recent time’s everything follows cloud services. According to Forbes, the worldwide expenditure on cloud computing services has risen at a 19.4% compound annual growth rate (CAGR) from nearly $70B in 2015 to more than $141B in 2019. Such a booming industry would require a higher layer of security with it. Cloud security is one such shared responsibility between the cloud providers and the users who can leverage the cloud security tools offered by Microsoft and AWS, and it has only increased in 2019 as more and more IT companies are now cloud service providers as well providing a vast range of career opportunities in 2019 and in the coming years.
8. Scrum Master
In 2019, agile methodologies are all that are gaining popularity among the IT enterprises, and these like the Scrum have contributed to faster market times, greater flexibility, higher quality products, and customer satisfaction. This methodology includes the product owner creates a wishlist, and the project team could break the list down to smaller pieces which should result in project deliverables ready to be shipped to the customer.
The team repeats this process over several sprints. This is where the scrum master comes in and stays the center of all activities right from coordination to linking customers and different teams of the project. As the scrum master takes care of such a diverse array of roles, attributes, and responsibilities, organizations have been hiring them to get a good ROI and high-quality project deliveries.
As the IT industry has been on the rise and is on the path to more glory, it can be said that the demand for highly skilled software engineers is not going to fade out very soon. To stay relevant in this competition, one needs to identify their strengths and interests and enforce them in a way that can help them attain greater feats once they are in the right industry. Good luck!