LLM AIOps Development Engineer Graduate (Data Center Networking) - 2026 Start (BS/ MS)

ByteDance is a company that inspires creativity and enriches life through its innovative products. They are seeking a Graduate LLM AIOps Development Engineer to collaborate with various teams to build autonomous data center networks using artificial intelligence technologies.

Responsibilities:

• 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/NetFlow, 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 pinpoint root causes of failures across the entire stack, from optical transceivers and switch hardware to protocol adjacencies and application traffic
• 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. 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

Requirements:

• 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, ClickHouse/TSDB, and experience building real-time data pipelines and analytics systems
• Observability Technologies: Experience with Prometheus/OpenTelemetry, 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 OpenTelemetry
• 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)