Evolution is one of the most crucial parts of employees' career development so that they can progress and evolve in their roles. One of the engineering manager's responsibilities is to provide support and the right resources to the employees, depending on their goals and personal objectives. But software engineering training is not only about the latest programming language or frameworks, AWS service, or technology to run containers.
At calldesk, we have a complex cloud infrastructure with many components and around 100 microservices. Joining the team as a new software engineer can be hard and it can take some time to become fully confident in this infrastructure. That's why we consider internal learning paths as important as learning a new programming language, and newcomers need to be supported in this adventure.
The first step to create learning paths was to break down the whole infrastructure into components. This step was not really hard as our infrastructure is already divided into plenty of micro-services and repositories.
As an illustration, the following components exist:
We are 10 Software Engineers at calldesk, distributed into 2 different teams. One of the teams is focused on the Studio, which is our SaaS interface to build voice agent, while the other is responsible for the voice agents runtime, which implies more work on our cloud infrastructure and AWS services (discover our infrastructure in 5 minutes).
Each team has its own focus and responsibilities regarding the components. That's why we gathered the components related to the runtime and make it belong to the team responsible for the infrastructure. The other components, that are more related to the APIs and the front-end SaaS interface are the responsibility of the other team.
We have decided to create 4 different levels of knowledge for each component: