High Paying Technologies You Should Learn In 2024 ๐ค
High paying tech jobs In 2024 โจ
In this blog post, I will delve deeper into the key technologies that were outlined in the YouTube video "High Paying Technologies You Should Learn In 2024" as being in high demand and leading to high-paying jobs over the course of 2024. The video provided a comprehensive roadmap to learning these skills in a step-by-step manner. Let's explore each technology and concept in more detail.
Learn the Full Stack Fundamentals
The video recommends starting your learning journey by gaining a strong foundation in the core full-stack technologies, including:
Technology | Description |
JavaScript | Learn JavaScript fundamentals like asynchronous programming. |
Node.js + Express | Build HTTP servers and backend apps with Node.js and Express. |
Databases | Understand NoSQL and SQL databases like MongoDB and PostgreSQL. |
React | Learn frontend development with the popular React framework. |
Mastering the full stack involves developing a deeper understanding of each component and how they integrate together. The key is to not just read tutorials, but develop your practical skills through hands-on practice and sample projects. Create some basic websites that incorporate frontend, backend and database components to cement your learning.
Add Typescript for Robustness
Once comfortable with JavaScript and the basic stack, the next step is learning Typescript. Typescript adds optional static typing to JavaScript for major benefits like catch errors early and enabling developer tools. It has quickly become the de facto standard for large professional projects.
Spend time understanding Typescript syntax and how it enhances JavaScript code quality through type safety and tooling. Familiarize yourself with key TypeScript features like interfaces, enums, generics etc. Converting existing JavaScript projects to TypeScript is also great practice.
Consider Useful Advanced Technologies
The video then recommends exploring some additional technologies that may be utilized depending on specific projects:
Service APIs
gRPC - Google's open source remote procedure call system for building microservices.
trpc - Reliable building of TypeScript APIs.
OpenAPI spec - Defines and documents APIs in a machine-readable format.
Deployment
Docker - Bundle apps into standardized units for software development.
AWS/Cloud Deployment - Deploy apps on cloud providers like AWS for scalability.
Database Integration
- ORMs - Object relational mapping layers between app code and databases.
Version Control
- Git/GitHub - Manage code development with the popular VCS tools.
Familiarize yourself with these technologies through documentation, tutorials and sample projects. Their usage varies by role and specific requirements.
React Alternatives for Large Apps
As React matures, the video recommends also learning alternatives like Next.js. Next.js makes it easy to build React applications and pages that can generate HTML and API routes beforehand to achieve high performance. It has gained immense popularity, especially for server-side rendering use cases. Spend time learning Next.js features and best practices.
Framework for Enterprise Apps
For building very large scale applications, the video mentions TurboRepo - a framework and toolkit from Anthropic designed to maximize developer velocity while reducing cognitive load. It provides structures and tooling for building professionally maintained codebases with many developers and modules interacting. Though niche, such knowledge can prove valuable if pursuing jobs at large tech companies.
Develop Practical Skills with Projects
No amount of reading can replace actually building projects yourself. The video emphasizes that creating personal projects to put learning into practice and demonstrate competency is key. Some suggestions include:
Building sample full stack projects with the core technologies
Contributing to open source projects to learn collaboration workflows
Creating deeper dives through specialized side projects
Actively seeking opportunities to code and solve problems is critical for cementing new skills and readiness for real-world work. Documentation, commenting and good communication are also important soft skills to develop alongside the technical work.
Mastering DevOps Fundamentals
The next milestone discussed is gaining proficiency in DevOps - the set of practices that combines software development and IT operations. The video recommends focusing on:
Docker - Containerize any application for portability and scalability.
Infrastructure as Code with Terraform - Define and provision infrastructure through code.
Container Orchestration with Kubernetes - Automate deployment, scaling and management of containers.
Helm - Package and deploy even complex Kubernetes applications.
DevOps mastery opens the door to progressively senior roles like DevOps or SRE engineering jobs with lucrative compensation packages. Begin with Docker, then learning Terraform and Kubernetes in particular will serve you well.
High Paying Jobs with Low Latency Coding
For the most financially rewarding roles, the video suggests learning low latency programming. Financial trading firms place massive importance on minimizing latency to gain competitive edge. While challenging, such coding jobs pay very handsomely:
Language | Description |
C/C++ | Industries standard for performance, used extensively in trading systems. |
Rust | Safer alternative to C/C++ with better memory management. |
Go | Easier than C/C++ yet performs well for building high throughput systems. |
Zig | A newer โsafer Cโ gaining ground with its focus on reliability and low-level control. |
Getting your hands dirty with problems involving serialization, memory optimization etc. using these languages can set you up for elite jobs in quant trading.
Conclusion
By methodically working through this roadmap of in-demand technologies, one can develop highly marketable full stack and devops engineering skills over the course of 2024. The key is to complement learning with practical experience through personal projects and contributions. Technologies may evolve, but the focus on continual learning, problem solving and skill-building will serve you very well in your technical career journey.
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