The company was founded in 2016 to create world-class AI Processors, developed from the ground-up and optimized for training deep neural networks and for inference deployment in production environments.
Requirements:
– Relevant academic degree – Must
– 3+ years of experience as DevOps Engineer – Must
– 3+ of team lead experience – Must
– Experience with on premise work environment – Must
– Expertisein Kubernetes-Must
– Expertise in implementing and administering systems in a virtualized environment such as VMware, KVM and Vagrant – Must
-Expertise in Networking- Must
– Proven knowledge: Python /GO – Must
– Experience with development and deployment on Linux – Must
– Experience in analyzing, configuring and maintaining CentOS, Ubuntu and Debian Linux servers – Must
– Experience working for a hardware company – Significant advantage
– Experience working with configurations tools like Puppet/Ansible – Must
:Experience in Docker, Artifactory,, Jenkins – Advantage
– Experience with ELK or other monitoring, dashboarding and alerting tools – Advantage
– Fast learner.
– Relevant academic degree – Must
– 3+ years of experience as DevOps Engineer – Must
– 3+ of team lead experience – Must
– Experience with on premise work environment – Must
– Expertisein Kubernetes-Must
– Expertise in implementing and administering systems in a virtualized environment such as VMware, KVM and Vagrant – Must
-Expertise in Networking- Must
– Proven knowledge: Python /GO – Must
– Experience with development and deployment on Linux – Must
– Experience in analyzing, configuring and maintaining CentOS, Ubuntu and Debian Linux servers – Must
– Experience working for a hardware company – Significant advantage
– Experience working with configurations tools like Puppet/Ansible – Must
:Experience in Docker, Artifactory,, Jenkins – Advantage
– Experience with ELK or other monitoring, dashboarding and alerting tools – Advantage
– Fast learner.
This position is open to all candidates.
