LLM AIOps Development Engineer
Core
Build a real-time network observability platform using machine learning and deep learning for anomaly detection, root-cause analysis, and automated remediation.
Role type
Senior IC machine-learning engineer (network AIOps)
Builds
Real-time network observability platform, RAG-powered conversational assistants, operational agents, and predictive capacity/risk systems
Domain
Data-center networking + Machine Learning
Deliverable
production ML models
Required skills
Go or Python, Linux network stack, Spine-Leaf Fabric, EVPN/VXLAN, BGP/OSPF, microservices, Docker, Kubernetes, CI/CD, real-time data pipelines, graph databases, LLMs, RAG, agent tool use
Preferred skills
hyperscale data-center networks, DPDK/eBPF, SmartNICs, network configuration and control systems
Responsibilities
Develop real-time network observability platform; Build ML/DL systems for anomaly detection and root-cause analysis; Develop RAG-powered conversational operations assistants; Build operational agents for remediation; Create network capacity and risk prediction capabilities; Design highly available and scalable systems
Seniority
Senior, hands-on IC
