LLM/AI Ops Development Engineer Graduate (Data Center Networking) - 2027 Start

What you'll do

• Build real-time network observability pipelines that integrate telemetry from physical and virtual networks.
• Develop machine-learning diagnostics, root-cause analysis, and capacity and risk prediction capabilities.
• Build LLM-powered operations assistants and agents for troubleshooting, runbooks, and controlled network remediation.

What they ask for

• Completing or recently completed a Bachelor's or Master's degree in Computer Science or a related discipline.
• Deep understanding of data center network architectures, EVPN/VXLAN, BGP/OSPF, and the Linux network stack.
• Proficiency in Golang or Python, with strong coding and system design abilities.
• Familiarity with microservices, Docker/Kubernetes, and CI/CD; practical experience in big-data processing or observability is highly desirable.

Nice to have

• Experience with hyperscale data center networks or significant LLM/Agent-based operations projects.
• Open-source contributions or experience with RDMA/RoCE, SmartNICs, DPDK/eBPF, or network configuration and control systems.

Tools

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

AI focus

Apply machine learning and deep learning to network anomaly detection, correlation, noise reduction, and prediction; build RAG-based operations assistants and agents that recommend or execute network remediation.