ALESSIO SALTARIN

Well, the fact is: it's not so important the language (Java, Ruby, Python, JavaScript) or the framework (Quarkus, Rails, Django, React) you choose. The important thing is that you master the principles behind computer programming, such as Web Development, Object Oriented and Functional Programming.

There are languages that, better than others, allows you to learn. Java, Kotlin or C# are examples. Because they are generic: they are Object Oriented, they give you Functional and all other patterns that a modern language must have.

About the frameworks, I would recommend one that embodies modern way of building Enterprise Architectures, such as: Cloud Native, Microservices, Event Driven Communication (Quarkus is one).

When I make interviews to select candidates to join our teams, these above are the things I consider most.

Good luck, and enjoy coding. Always.

Alessio

In my opinion, a modern developer should have deep knowledge about Object Oriented (OOP) and Functional Programming (FP). The programming language is something that must come later. Any good programmer should be able to switch from one programming language to another easily, if they follow OOP and FP. There are languages, though, that must absolutely be in the portfolio of a modern developer: Java, C#, Python and JavaScript. But be prepared to know also Scala, Kotlin, Swift, Go, Ruby, Rust and TypeScript.

If you are comfortable with TypeScript, why not evolve to a C# ecosystem? Asp.Net Core + Entity Framework is a mature and well supported technology. As far as I can see in the enterprise market, the most adopted choice is still Java. So, maybe you may have a look to SpringBoot - and ultimately Quarkus.

As you certainly know, there are languages that compile in meta-code for Virtual Machines (Java, C#, Kotlin) and languages that compile in Machine Language (Go, Rust). Apart specific domains (blockchain, IoT embedded software, AI, cloud) almost no-one uses languages that compile in machine language, for a series of reason, most of all security and portability. So, if you are going to learn for business go with Kotlin - Java is a bit ancien regime. If you seriously need to learn a language that compiles in ML - for example you will code for IoT - go with Go - or Rust - but keep in mind that Rust is much less used than Go. PS: Kotlin also compiles in ML, but I would choose a language designed for that, instead of one that compiles "also" in ML. PPS: Some Virtual Machines - ie: GraalVM - allow you to compile Java in ML. The world of IT is beautiful.

Basically every platform providing GIT support is equivalent, the choice is yours. Your list is not complete, though: there is also Azure DevOps Services, Google Cloud Source, AWS Code Commit and so on. Basically each one provides, besides GIT repositories, a more or less complete series of DevOps services - Continuous Integration and Issue Tracking above all...