AIOps Network Automation Engineer (Graduate)

ByteDance

San Jose (CA)

On-site

USD 110,000 - 160,000

Full time

14 days+
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Job summary

ByteDance is seeking a development engineer to join the Network Observability team, working on autonomous data center networks enabled by AI/ML and LLM-based agents. You will build a panoramic observability platform, ingesting telemetry data from gNMI, Netconf, IPFIX/NetFlow and SNMP, and implement intelligent diagnostics to quickly identify root causes across the stack.

The role blends network engineering with cutting-edge AI technologies, including autonomous remediation and proactive capacity

Qualifications

  • Bachelor's or Master's degree in Computer Science or related discipline.
  • Deep understanding of data center network architectures (Spine-Leaf Fabric) and protocols EVPN/VXLAN, BGP/OSPF; Linux network stack.
  • Mastery of Go (Golang).

Responsibilities

  • Design a closed-loop AIOps for the NetWork platform.
  • Develop a telemetry pipeline aggregating gNMI, Netconf, IPFIX/NetFlow, and SNMP.
  • Apply ML/DL for anomaly detection and root cause analysis.
  • Explore LLMs and agents for intelligent operations.
  • Develop automated remediation and smart runbooks.
  • Forecast capacity bottlenecks and risk for proactive maintenance.
  • Ensure a scalable, highly available data center network platform.

Skills

Data center networking
EVPN/VXLAN
BGP/OSPF
Linux networking
Go (Golang)

Education

Bachelor's degree in Computer Science
Master's degree in Computer Science

Tools

gNMI
Netconf
IPFIX/NetFlow
SNMP

Job description

ByteDance is seeking a development engineer to join the Network Observability team, working on autonomous data center networks enabled by AI/ML and LLM-based agents. You will build a panoramic observability platform, ingesting telemetry data from gNMI, Netconf, IPFIX/NetFlow and SNMP, and implement intelligent diagnostics to quickly identify root causes across the stack.

The role blends network engineering with cutting-edge AI technologies, including autonomous remediation and proactive capacity

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