The world is heading to a place where you will be ‘useless’ and unemployable without any technical or computer skills. What that means is that better or highest-paying jobs will be in the tech and IT world. On that note, we bring you the best or highest-paying tech and IT jobs that will forever see increment as time goes on.
So if you are about to pursue any of those, you know which one is worth the sleepless nights and huge fees and bills, or if you already have the skills and want to get busy, you chose the one that will pay for your lost sleep, money, and skills in the shortest possible time.
The ranking of jobs or skills we present to you has been decided or motivated by the average salary, salary range, job openings for each job.
Table of Contents
Best Tech Jobs
10 – Full Stack Developer: In the world of software programming, it helps to have someone on the team who is something of a jack of all trades. They can help with various stages of development and have the versatility and time management to assist all levels of the development team. When it comes to web development, that role belongs to the Full Stack Developer. This is not a Back End or Front End developer, but someone who handles both — a “Full Stack,” as it were.
A Full Stack Developer is someone who works with the Back End — or server-side — of the application as well as the Front End, or client-side. Full Stack Developers have to have some skills in a wide variety of coding niches, from databases to graphic design and UI/UX management to do their job well. They are something of a swing, ready to assist wherever needed in the process.
Now, full-stack development can overwhelm anyone. This is because it is an all-around skills requirement. You also have to keep your updated always to know the newest means of fixing bugs and stuff. Basic skills in web development, API development, and database technologies are highly required.
You will also need to have hands-on experience in technologies such as React JS, Node.js, Angula, and MongoDB.
Having great knowledge about something comes with its benefits, for starters, top-notch companies such as Wipro, Infosys, Tech Mahindra, Tata, cognisant, etc are hosting full-stack developers with an average salary of $112k per annum. This is the number 10 highest paying tech and IT job on the list.
09 – The DevOps Engineer: A DevOps Engineer introduces the team to different tools, technologies, methodologies, and practices through the software development lifecycle. This is about coding, deploying, maintaining, and updating the app in the firm that you work with.
DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality. DevOps is complementary with Agile software development; several DevOps aspects came from the Agile methodology.
To become qualified for the position of DevOps Engineer in a firm, you need to have some important skills set in place, some of them listed above; proficiency in coding and scripting, and you must be familiar with tools such as Docker, Jenkins, Git, Kubernetes, and puppet.
Another must-have skill is the knowledge about operating systems such as Unix and Linux. And you can make an average of $114k per annum depending on your geography and expertise with companies such as SAP, MacAfee, and oracle.
o8 – Data Scientist: These professionals help companies in making smart business moves on day to day basis. Huge companies that can employ the service of these people rely on their service and expertise to figure out trends and patterns in the market and convey crucial business insights to their clientele which is why data scientist plays a pivotal role in any company.
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from noisy, structured, and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.
To play this huge role in any company, you need to have a skillset of strong grasp on statistical analysis, command over some programming languages such as Python, R, and SQL. You must have a fit of knowledge about database technologies and strong business acumen and data insight to make an average of $133k in the US in companies such as Mu, Sigma, Visa, Netflix, and Google.
07 – Market Intelligence Analyst: Hope you have heard the word, ‘competition among consumers will never go down, it can only switch’. Yes, the consumer market is always growing, but not only growing but also evolving. Therefore as businesses try to keep and engage their consumers, they try to look into the market research to form informed business decisions and this is where the intelligent analyst about the market structure comes in. So, the basic duty of the market intelligent analyst is to tell the firm he/she works with, what the consumers want in the market, how much they want it, how long the demand is forecasted to last.
It involves placing a product in specific stores to understand customer response to the new product. It can be called a pilot run to test the product in the market. For example, A chocolate company wants to test a new product they want to launch
Now in a broader scope of this career, this crop of professionals examine the market conditions for a certain potential product or service, and for this, they meed some peculiar skills to be able to execute their job.
These skillsets include; SEO, Pay-Per_Click marketing, content marketing, email and mobile marketing, conversion, optimization, and web analytics.
With the above-listed expertise, you can land a job with companies like eBay, Walmart, Etsy, Amazon and earn an amount of $136k on average per annum.
06 – IT Program Manager – This is a strategic program management professional whose job is to oversee and coordinate all the technical aspects of a project. In essence, they initiate a project, track its progress, and help in troubleshooting.
In case issues arise, they typically coordinate the efforts of the development team, stakeholders, and external vendors when it comes to a certain project of an organization. While also scheduling tasks and timings and making the deadlines are met.
In short, Program management or program management is the process of managing several related projects, often intending to improve an organization’s performance.
While no company can function properly without an IT programmer, there are a few who are hiring heavily for this position. This includes Google, Standard Chartered, Boeing, and Accenture for really high average salaries about $136k in the US.
05- Software Architect – A software architect is a software development expert who makes high-level design choices and tries to enforce technical standards including software.
The title “software architect” encompasses many things. It’s a leadership role, a design role, a customer-facing role, and a technical role. But unlike an architect that designs buildings or bridges, a software architect designs software solutions that solve the problems that companies and clients may face.
They design, develop and implement software systems and solutions for a company. They determined new tools and processes to be adopted by the development team to produce high-performance software solutions. Now, depending on where you work, you might have to create a software system from scratch or incorporate new technology into already existing pipelines.
Apart from that, you are also expected to bridge the communication gap between your development team and your managers and occasionally create custom solutions for your client. It is reckoned to get hired for this job role that you get certified in either of the programming languages such as Java, PHP, C++, and SQL.
This job role consists of software characteristics such as security, scalability, and manageability into a streamlined structured solution that aligns with your company’s business and your technological goals. And that comes with a pay of $139k average per annum from companies such as Nvidia, Dell, Intel, Microsoft, and JP Morgan.
04- Network Security Engineer – Moving up the list of the highest paying tech and IT jobs in the world, we have network security engineer at number 4.
A network security engineer protects systems from cyber threats, including bugs, malware, and hacking attempts. The IT professional should be able to identify existing issues and build safeguards to avoid future threats. Testing and configuration of hardware and software systems are involved.
So as you wear a face mask and regularly wash your hands to prevent the further spreading of the novel COVID-19 virus, what you would like to do for your company or computer systems and data to prevent them from their form of coronavirus is to employ this group of people.
Also, a network security engineer typically conducts investigations into your computer network to seek violations and policy breaches in them. They also conduct penetration testings, set up security standards for organizations as well as encrypt and set up firewalls to protect sensitive data.
To play this huge role of being a gateman or watch in a computer watchtower for a company requires a lot of things. You must be well versed in topics including data and network security, and obviously, operating systems. You must understand the risk management methods and have hands-on experience in testing and encryption tools.
Now with these skills, you can earn as much as $143k on average from companies like FireEye, Hackerone, IBM, and cisco.
03 – Data Engineer – Data Engineer is responsible for connecting all the pieces of the data ecosystem of an organization. They are responsible for acquiring, accessing, auditing, and processing data from different applications, building data pipelines as well as maintaining database architecture in several companies the tools that will lead them to success. Apart from that, they also have to be proficient in big data processing frameworks, real-time processing frameworks, database architecture, ETL, query languages, as well as a sound understanding of Operating systems like Linux, or Unix.
Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there have to be mechanisms for collecting and validating that information. For that work to ultimately have any value, there also have to be mechanisms for applying it to real-world operations in some way. Those are both engineering tasks: the application of science to practical, functioning systems.
Information engineering, also known as information technology engineering, information engineering methodology, or data engineering, is a software engineering approach to designing and developing information systems.
You will make an average of $144k from some top-notch companies like Ernst & Young, Walmart, MacAfee.
02- CLOUD ARCHITECT – This is someone responsible to take all the requirements of a cloud-based project and turn it into architecture or design that will guide the final product. Often they are also expected to bridge the gap between business problems and cloud solutions. So as a cloud architect, you need certain skills such as an understanding of an Operation system such as Unix and Linux, cloud security and cloud architecture, and an understanding of vendors such as AWS, GSP, and AZure.
Cloud computing architecture refers to the components and subcomponents required for cloud computing. These components typically consist of a front-end platform, back-end platforms, a cloud-based delivery, and a network. Combined, these components make up cloud computing architecture. Cloud solutions design is based on architectural procedures and methods that have been developed over the last 20 or so years.
A Cloud Architect is responsible for converting the technical requirements of a project into the architecture and design that will guide the final product. Often, Cloud Architects are also responsible for bridging the gaps between complex business problems and solutions in the cloud. Other members of a technology team, including DevOps engineers and developers, work with the Cloud Architect to ensure that the right technology or technologies are being built.
If you are thinking of becoming a Cloud Architect, you will ideally already have a strong background in cloud computing or a similar technical area. If you feel comfortable with most of the following concepts or at least some of them, then you are probably on the right track. Otherwise, I would recommend some initial study or work in these areas before you tackle the Cloud Architect role.
Good knowledge of at least one operating system: Linux, Unix, Solaris, Ubuntu, Windows. My preference is any Linux operating system (e.g., Ubuntu or Red Hat), but prior experience as an administrator or architect in any of the well-known operating systems is also helpful.
Good understanding of networking: TCP/IP, IP addresses, HTTP, DNS. I suggest that you have some familiarity with these concepts before pursuing a role as a cloud architect.
Computer programming languages: You will need at least a minimal understanding of a programming or scripting language. This is probably not a must, but it will help.
Security: Security in the cloud is important, and consequently, a high-level understanding of key security concepts is a must for a Cloud Architect. So an initial knowledge of some basic security concepts, such as firewalls, is necessary.
This set of skills attract an average of $155K from big tech companies such google, Amason, Microsoft, and HTC
01 – Artificial Intelligence And Machine Learning Engineers – Finally, sitting on the top of the list is AI Engineers.
A machine learning engineer (ML engineer) is a person in IT who focuses on researching, building, and designing self-running artificial intelligence (AI) systems to automate predictive models.
They build and test AiML models of course. It’s that simple but is it? AI has reached a point today where it can surpass humans’ decision-making more accurately and consistently 24/7. And based on more facts which is why Ai and ML are top of the list. Because they are the ones leading us on the path to the future where we will have to sit aloft and give commands and everything will be done for us by machines more accurately and consistently 24/7.
That can’t come easy. You need a long big basket of skillset. Fundamentally, you can start by learning essential maths and statistics and follow on by learning a programming language with a rich library of statistical packages such as Python and R Language.
You also need to know the tools and technologies involved in Machine Learning, deep learning, and neural networks.
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A machine learning engineer (ML engineer) is a person in IT who focuses on researching, building, and designing self-running artificial intelligence (AI) systems to automate predictive models. Machine learning engineers design and create AI algorithms capable of learning and making predictions that define machine learning (ML).
An ML engineer typically works as part of a larger data science team and will communicate with data scientists, administrators, data analysts, data engineers, and data architects. They may also communicate with people outside of their teams, such as with IT, software development, and sales or web development teams, depending on the organization’s size.
ML engineers act as a bridge between data scientists who focus on statistical and model-building work and the construction of machine learning and AI systems.
The machine learning engineer role needs to assess, analyze and organize large amounts of data, while also executing tests and optimizing machine learning models and algorithms.
Roles and responsibilities of a machine learning engineer
An ML engineer’s primary goals are the creation of machine learning models and retraining systems when needed. Responsibilities vary, depending on the organization, but some common responsibilities for this role include:
- Designing ML systems.
- Researching and implementing ML algorithms and tools.
- Selecting appropriate data sets.
- Picking appropriate data representation methods.
- Identifying differences in data distribution that affects model performance.
- Verifying data quality.
- Transforming and converting data science prototypes.
- Performing statistical analysis.
- Running machine learning tests.
- Using results to improve models.
- Training and retraining systems when needed.
- Extending machine learning libraries.
- Developing machine learning apps according to client requirements.
Skills and qualifications to become a machine learning engineer
To become a machine learning engineer, an individual should have experience with these skills and qualifications:
- Advanced math and statistics skills, surrounding subjects such as linear algebra, calculus, and Bayesian statistics.
- Advanced degree in computer science, math, statistics, or a related degree.
- Master’s degree in machine learning, neural networks, deep learning, or related fields.
- Strong analytical, problem-solving, and teamwork skills.
- Software engineering skills.
- Experience in data science.
- Experience in working with ML frameworks.
- Experience working with ML libraries and packages.
- Understand data structures, data modeling, and software architecture.
- Knowledge in computer architecture.
With all these skills at your disposal, you can make an average of $177k from Google, Facebook, Twitter, Uber.
This is our list of highest paying tech and IT jobs in the world per our research and
You can enroll at Edureka and have all well taught to make you ready for the job market.