DevOps Engineer (m/w/d)

Be responsible for running machine learning pipelines within Kubernetes, including GPU support.

Take on the task of scaling the infrastructure to multiple machines as each of our clients runs a separate machine learning model.

Run VoIP headless softphones behind Session Border Controllers.

Take monitoring and recovery processes into your own hands.

Be responsible for deployment processes for highly available systems.

Support the technical sales with how the tool can be integrated in the network architecture of a client.

Techstack: Kubernetes, Azure, Terraform, MongoDB, MySQL, Redis, Prometheus, ELK, Kamailio, Freeswitch