DecisionBrain develops custom decision‑support applications for various clients. Web-based applications with a microservice architecture
Deployment on various Kubernetes environments
Built using DB Gene , our proprietary platform that we use to accelerate the development of decision‑support applications
Your team is in charge of deploying our applications to Kubernetes environments, monitoring them, investigating issues, qualifying them, and implementing a fix if the issue is within your scope. It works in close collaboration both with the teams responsible for project development and with the team responsible for the IT infrastructure. As a client‑facing team, your mission is to ensure that we respect our SLAs and, beyond that, to contribute actively to customer success.
As a DevOps Engineer , you will play a crucial role in the company’s ability to deliver its software projects. Furthermore, the recent progress in AI tools opens the door to ubiquitous automation of processes, which in turn relies heavily on DevOps tooling.
Our DevOps toolchain includes the following,
where alternatives are either currently or potentially investigated for almost all elements:
Continuous integration pipelines running on self-hosted Gitlab workers
Artefacts in several formats (PyPi, Maven2, NPM, Docker, etc.) Projects deployed to Kubernetes using Helm charts
Your mission will consist in enhancing the above toolchain both to make it more robust, for example by investigating emerging technologies and products; and to extend its scope to the needs of the company, from software delivery to security, and more generally the automation of processes.
As mentioned above, your role is connected to all technical teams in the company. With this in mind, and under the supervision of the Lead Engineer of the team, you will be responsible for:
Maintaining the CI tool chain of the projects that we develop for our customers
Evolving this CI to incorporate specificities of project and evolutions broug
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