NetBrain is the market leader disrupting the network automation space. Our ground-breaking automation platform leverages the power of dynamic maps to provide CIOs and network teams with end-to-end network visibility while enabling adaptive automation across the organization’s physical, virtual and software-defined networks. Today, over 1,800 of the world’s largest enterprises and managed services providers leverage NetBrain’s platform to automate network documentation, troubleshooting, and change management.
“NetBrain’s success is due to our people, and over the years, we have been fortunate to attract top talent because of our unique culture and exciting mission to transform the network management industry.” - Lingping Gao, Chairman and Chief Executive Officer of NetBrain
GROW WITH US!
Work closely with Data Scientist team and provide network domain knowledge for Machine Learning Research.
Analyze network data and provide insight on network change rules.
Proactively advise on new and relevant network data, data mining, and analytical views.
Presents analytical results on network data.Assist with projects such as providing input and recommendations for streamlining processes and making process improvementsProvide ideas on product enhancements focusing on machine learning field.Research network automation troubleshooting documents and apply to our product.
Bachelor Degree in Electrical Engineering, Computer Science, Information Technology or similar fields.Proficient in network Switching and Routing such as OSPF, BGP, EIGRP, MPLS, LAN/WAN protocols and security.Experience with Data Center network management.Familiarity with Virtualization network technology.Familiarity with various cutting-edge network technology, such as Open Daylight, Cisco ACI, VMWare NSX, Juniper Contrail.CCNP or CCIE certificate or experience level is required.Have 5 years of experience in network.Ability to quickly learn new or unfamiliar technologies.Plus: Familiarity with Machine learning field.Familiarity with coding skills in Python.Familiarity with Cloud offerings such as AWS, Azure or SoftLayer and Hybrid enterprise deployments.