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DevOps Engineer (m/w/d)

Client .
Category DevOps / Cloud
Published
Uplink fee none More info
Job type Recruiter More info

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

Must have skills
DevOps, Kubernetes, WebSockets

Start date
Earliest: asap
Latest: Sep 15, 2022

Length
4-6 months

Engagement
Fulltime

Remote
Fully possible

Language requirements
English, German

Budget
75-90€ per hour

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