LLM AIOps Development Engineer - Data Center Networking

Location

San Jose

Technology

Regular

A38591

• Collaborate closely with Net Ops, SRE, and platform engineering teams to tackle the complexities of one of the world's largest data center networks.
• Design and implement a closed-loop AIOps for Net Work platform, covering:

Develop a streaming telemetry data pipeline for both physical and virtual networks, integrating multi-source data from gNMI, Netconf, IPFIX/Net Flow, and SNMP to provide a high-quality, real-time data foundation for AIOps.

Apply machine learning and deep learning algorithms to perform anomaly detection, correlation analysis, and intelligent noise reduction on massive volumes of network metrics, logs, and events. Swiftly pinpoint root causes of failures across the entire stack, from optical transceivers and switch hardware to protocol adjacencies and application traffic.

• Intelligent Operations Assistant:
  Build a conversational chatbot powered by Retrieval-Augmented Generation (RAG) that understands natural language queries, automatically queries knowledge bases and monitoring data, and provides precise troubleshooting guidance and network status reports.
• Automated Remediation and Smart Runbooks:
  Train operational Agents to safely and controllably invoke network change tools and APIs. Empower them to autonomously generate, recommend, or even execute remediation plans and emergency runbooks based on their understanding of failure scenarios.
• Establish Capacity and Risk Prediction Capabilities:
  Forecast network capacity bottlenecks, high-risk links, and "sub‑healthy" devices based on historical data and business growth models, enabling proactive scaling and preventative maintenance.
• Forge a Rock‑Solid Engineering System:
  Adhere to engineering best practices to design and develop a highly available and scalable AIOps platform. Guarantee the stability and performance of the entire pipeline, from data collection and model training to online inference and automated closed-loop actions.

• Solid Fundamentals in Computer Science and Networking: A deep understanding of data center network architectures (e.g., Spine‑Leaf Fabric), and proficiency in key protocols such as EVPN/VXLAN and BGP/OSPF. In‑depth knowledge of the Linux network stack is essential.
• Excellent Software Engineering
  
  Skills:
  
  Mastery of Golang or Python with outstanding coding and system design abilities. Familiarity with modern software development workflows, including microservices, containerization (Docker/Kubernetes), and CI/CD.
• Rich Platform Development
  
  Experience:
  
  Practical experience in one or more of the following areas is highly desirable:
  • Big Data Processing:
    Familiarity with Kafka, Flink, Click House/TSDB, and experience building real‑time data pipelines and analytics systems.
  • Observability Technologies:
    Experience with Prometheus/Open Telemetry, graph databases (e.g., Neo4j), and developing alert and event platforms.
• A Passion for AIOps/ML/LLM Practices: A keen interest in the latest advancements in Large Models and Agent technologies, with thoughtful insights or hands‑on experience in their application to operations (e.g., RAG, tool use, safety evaluation).

• Experience in operating or developing for hyperscale (100,000+ servers) data center networks.
• Proven experience leading or making significant contributions to an LLM/Agent‑based intelligent operations project with measurable business impact.
• Active contributions to open-source communities such as SONiC, P4/PINS, eBPF, Prometheus, or Open Telemetry.
• In‑depth research or practical experience in high-performance networking (RDMA/RoCE), SmartNICs (NIC Offload), or DPDK/eBPF.
• Experience building network configuration and control systems (e.g., based on SONiC, gNMI, Netconf).

The base salary range for this position in the selected city is $150,000 – $387,600 annually.

Compensation may vary outside of this range depending on a number of factors, including a…