LLM AIOps Development Engineer - Data Center Networking

What you'll do

• Build real-time network telemetry pipelines and observability systems integrating data from physical and virtual networks.
• Develop machine-learning diagnostics, root-cause analysis, and capacity and risk prediction capabilities.
• Build LLM assistants and operational agents for troubleshooting and controlled network remediation.

What they ask for

• Deep understanding of data center network architectures and protocols including Spine-Leaf Fabric, EVPN/VXLAN, BGP/OSPF, and the Linux network stack.
• Mastery of Golang or Python, with strong coding and system design skills.
• Familiarity with microservices, Docker/Kubernetes, and CI/CD.
• Interest in LLM and Agent applications to operations; experience with RAG, tool use, or safety evaluation is noted.

Nice to have

• Experience operating or developing for hyperscale (100,000+ servers) data center networks, or leading/contributing to an LLM/Agent-based intelligent operations project with measurable business impact.
• Open-source contributions or experience with high-performance networking, SmartNICs, DPDK/eBPF, or network configuration and control systems.

Tools

Golang, Python, Docker, Kubernetes, Kafka, Flink, ClickHouse/TSDB, Prometheus/OpenTelemetry

AI focus

Applies machine learning and deep learning to network anomaly detection, correlation, noise reduction, and prediction; builds RAG-powered assistants and agents that can recommend or execute controlled remediation.