ByteDance

1 day ago

LLM AIOps Development Engineer - Data Center Networking

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Build closed-loop AIOps for hyperscale data center networking by creating a real-time observability platform and applying ML/LLM techniques for anomaly detection, correlation, and root-cause analysis. Develop LLM-powered operations assistants (RAG chat) and agent-driven remediation/runbooks, plus capacity and risk prediction to enable proactive scaling and preventative maintenance. Work with NetOps, SRE, and platform teams to deliver a highly available, scalable pipeline from telemetry collection to online inference and autonomous actions.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Collaborate with NetOps, SRE, and platform engineering to deliver AIOps for a large data center network.
•Build a streaming network observability platform using multi-source telemetry (gNMI, Netconf, IPFIX/NetFlow, SNMP) for real-time AIOps input.
•Develop ML-based diagnostics and root-cause analysis for anomaly detection, correlation analysis, and noise reduction across the network stack.
•Create LLM-powered operations assistants (RAG chatbot) and agent-driven remediation/runbooks that can recommend or execute changes safely.
•Implement capacity and risk prediction to forecast bottlenecks, high-risk links, and sub-healthy devices, and ensure a highly available, scalable platform.

Key Requirements

•Deep understanding of data center network architectures (e.g., Spine-Leaf Fabric) and protocols such as EVPN/VXLAN and BGP/OSPF, plus strong Linux networking knowledge.
•Proficiency in Golang or Python with strong coding and system design skills.
•Experience building real-time data pipelines/analytics (e.g., Kafka, Flink, ClickHouse/TSDB).
•Experience with observability technologies such as Prometheus/OpenTelemetry and building alert/event platforms (including graph databases like Neo4j).
•Hands-on interest in AIOps/ML/LLM and agent technologies for operations, such as RAG, tool use, and safety evaluation.

Experience:Hyperscale data centersAIOpsMLLLMReal-time data pipelines

Skills:CollaborationSystem designEngineering best practicesProactive problem-solving

Tech Stack:GolangPythonLinuxEVPNVXLANBGPOSPFMicroservicesDockerKubernetesCI/CDKafkaFlinkClickHouseTSDBPrometheusOpenTelemetryNeo4jGNMINetconf

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

ByteDance

1 day ago

LLM AIOps Development Engineer - Data Center Networking

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Collaborate with NetOps, SRE, and platform engineering to deliver AIOps for a large data center network.
•Build a streaming network observability platform using multi-source telemetry (gNMI, Netconf, IPFIX/NetFlow, SNMP) for real-time AIOps input.
•Develop ML-based diagnostics and root-cause analysis for anomaly detection, correlation analysis, and noise reduction across the network stack.
•Create LLM-powered operations assistants (RAG chatbot) and agent-driven remediation/runbooks that can recommend or execute changes safely.
•Implement capacity and risk prediction to forecast bottlenecks, high-risk links, and sub-healthy devices, and ensure a highly available, scalable platform.

Key Requirements

•Deep understanding of data center network architectures (e.g., Spine-Leaf Fabric) and protocols such as EVPN/VXLAN and BGP/OSPF, plus strong Linux networking knowledge.
•Proficiency in Golang or Python with strong coding and system design skills.
•Experience building real-time data pipelines/analytics (e.g., Kafka, Flink, ClickHouse/TSDB).
•Experience with observability technologies such as Prometheus/OpenTelemetry and building alert/event platforms (including graph databases like Neo4j).
•Hands-on interest in AIOps/ML/LLM and agent technologies for operations, such as RAG, tool use, and safety evaluation.

Experience:Hyperscale data centersAIOpsMLLLMReal-time data pipelines

Skills:CollaborationSystem designEngineering best practicesProactive problem-solving

Tech Stack:GolangPythonLinuxEVPNVXLANBGPOSPFMicroservicesDockerKubernetesCI/CDKafkaFlinkClickHouseTSDBPrometheusOpenTelemetryNeo4jGNMINetconf

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn