We live in a time of great career changes; jobs are being lost to automation and others are changing the skills required. With changes like these in the market, you may be considering a career move into technology, or perhaps you’re already in the field and want to advance. Whatever your reason, we’ve put together a list of the top 10 highest paying tech jobs in 2020 for you.
10. Product Manager
Product managers, not to be confused with project managers, are an essential part of any technology company. A product manager is responsible for determining the strategy and coordination of team members in relation to the creation of a product. Product managers not only define who will work on a project, but also help their team define the scope of the project and the important steps in the engineering process. This role is essential for product development from concept to launch. Some of the skills required for a product manager are:
A solid understanding of Product Lifecycle Management (PLM).
Knowledge of product management tools such as PivotalTracker , JIRA and Asana
Strong analytical skills
Exceptional time management skills
Product Managers are responsible for providing an operating plan that can help achieve strategic and tactical goals and objectives, build a product portfolio, manage and implement marketing activities, and contribute to the product strategy and vision.
The average annual salary for a product manager is $100,000 .
9. Artificial Intelligence (AI) Engineer
An Artificial Intelligence (AI) Engineer develops, manages and oversees AI initiatives within an organization. Some say he or she will soon rival data scientists in need of skilled professionals.
An AI engineer must have a thorough understanding of mathematics and statistics. In addition, an AI engineer:
Have strong programming skills and be familiar with Python, R and Torch.
Understand how TensorFlow and other similar technologies work
Have a clear understanding of AI-related technologies, including machine learning, neural networks and deep learning
The average annual salary for an AI engineer is $119,000 .
8. Full-Stack Developer
It’s hard to define a definition for a full-stack developer, but the closest description would be someone who is well-versed in front-end and back-end development or someone who has skills in every stage of development. Regardless of the variety of definitions, 2017 saw more demand than ever for these professionals.
Some of the knowledge and skills required to become a full-stack developer are:
Technologies such as MongoDB , Express.js, AngularJS and Node.js
How to design and develop an API
Coding and scripting
The fundamentals of web development
Basics of database technologies
A full-stack developer is typically responsible for designing and building APIs using MEAN stack technologies, ensuring that the applications created are responsive and meet the required standards, ensuring the integrity of the code created, and implementing data security.
The average annual salary for a full stack developer is $110,000 .
7. Cloud Architect
A cloud architect deploys and oversees an organization’s cloud strategy. Some of the skills and knowledge required by a cloud architect include:
A thorough understanding of cloud application architecture
Knowledge of Amazon Web Services (AWS) and Azure
Good communication skills
A cloud architect is typically responsible for developing the cloud architecture, developing a cloud strategy and coordinating the implementation and deployment of it, and ensuring that the architecture and application deployments in the cloud environment are done correctly.
The average annual salary for a cloud architect is $118,000 .
6. DevOps Engineer
A DevOps engineer is not a clearly defined role. It can be a member of the development team involved in deployment and network operations, or a member of the operations team working on application development. Some of the skills required of a DevOps engineer include:
Coding and scripting
Understanding deployment and network operations
Familiarity with DevOps
DevOps tools like Git and Jenkins
Knowledge of Linux or Unix system administration
A DevOps engineer may be responsible for designing and maintaining a deployment infrastructure, integrating cloud services so that processes can be automated, or writing shell scripts in PHP / Python and Ruby.
The average annual salary for a DevOps engineer is $123,000 .
5. Blockchain Engineer
A blockchain engineer specializes in developing and implementing architectures and solutions using blockchain technology. Due to the rapid growth of this technology, we already have a shortage of qualified professionals for this position.
A blockchain engineer must have strong programming skills and a thorough understanding of the technologies behind Ripple, R3, Etherium, and Bitcoin as well as consensus methodologies and security protocol stacks, crypto libraries, and functions.
The average annual salary for a blockchain engineer is $130,000 .
Learn more about how to become a blockchain engineer .
4. Software Architect
A software architect optimizes the development process by making design choices and dictating technical standards such as coding, tools and platforms. As part of their role, they identify a client’s requirements and perform hands-on work to develop prototypes.
Some of the skills required of a software architect include:
An understanding of software architecture
Good programming skills
Strong analytical skills
The average annual salary for a software architect is $130,000 .
3. Big Data Engineer
A Big Data engineer plans to design and manage the entire lifecycle of large-scale Big Data application developments and deployments. Some of the skills required of a Big Data engineer include:
Understanding Hadoop, Spark, and NoSQL, as well as data warehousing technologies
Data visualization skills
Excellent communication skills
The average annual salary for a Big Data Engineer is $140,000 .
2. Internet of Things (IoT) Solutions Architect
The IoT Solutions Architect is a leader in overseeing the strategy behind the development and deployment of IoT solutions. In addition to understanding IoT solutions, you also need strong programming skills, an understanding of machine learning, and knowledge of hardware design and architecture.
An IoT solutions architect is responsible for leading and participating in activities around architecture and design, helping to develop an overall IoT ecosystem engagement based on the IoT solution framework, and translating business needs into solution architecture requirements.
The average annual salary for an IoT Solution Architect is $133,000.
1. Data Scientist
A data scientist analyzes and interprets complex data to help organizations make better decisions faster. A data scientist should be able to:
Understand machine learning algorithms
Create data models
Code in languages such as Python, R, SAS and other analytical tools
Identify business problems and provide appropriate solutions
The average annual salary for a data scientist is $141,000.
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