LLM AIOps Development Engineer - Data Center Networking Seattle Regular

Location:

Seattle

Team:
Technology

Employment Type:

Regular

Job Code: A232132

• Build a Panoramic Network Observability Platform:
  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.
• Develop an Intelligent Diagnostics and Root Cause Analysis System:
  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 pinpointing root causes of failures across the entire stack.
• Explore Innovative Applications of LLMs and Agents:
  • 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, empowering 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, guaranteeing the stability and performance of the entire pipeline from data collection and model training to online inference and automated closed-loop actions.

• Minimum Qualifications:
  • Solid Fundamentals in Computer Science and Networking:
    Deep understanding of data center network architectures (e.g., Spine-Leaf Fabric), proficiency in key protocols such as EVPN/VXLAN and BGP/OSPF, and in-depth knowledge of the Linux network stack.
  • 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 (Kafka, Flink, Click House/TSDB), Observability Technologies (Prometheus/Open Telemetry, graph databases such as Neo4j), and AIOps/ML/LLM Practices with hands‑on experience in RAG, tool use, and safety evaluation.
• Preferred Qualifications:
  • 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, or DPDK/eBPF.
  • Experience building network configuration and control systems based on SONiC, gNMI, or Netconf.

The base salary range for this position in the selected city is $202,160 - $368,220 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work; this role may be eligible for…