> Markdown version of [/jobs/ext/2580588-llm-ai-ops-development-engineer-graduate-data-center-networking-2027-start](https://www.wearedevelopers.com/jobs/ext/2580588-llm-ai-ops-development-engineer-graduate-data-center-networking-2027-start). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # LLM/AI Ops Development Engineer Graduate (Data Center Networking) - 2027 Start - **Company:** BYTEDANCE INC. - **Location:** San Jose, CA, United States (Remote available) - **Experience:** Starter - **Salary:** $128,000.0 - $256,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Border Gateway Protocol, Big Data, Protocol Stack, Continuous Integration, Data Systems, Noise Reduction, Linux, Graph Database, Python (Programming Language), Machine Learning, Network Configuration and Change Management, Neo4j, Netconf, NetFlow, Open Shortest Path First (OSPF), Open Source Technology, Remote Direct Memory Access, Prometheus, Runbook, Simple Network Management Protocols, Large Language Models, Generative AI, Data Center Networking, Containerization, Kubernetes, Information Technology, Apache Flink, Real Time Data, Apache Kafka, Vertica, Data Pipelines, Docker, Golang, Microservices - **Published:** August 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ce7a4fee23cdb8d8 ## About the Role * Individuals who are completing or have recently completed a Bachelor's or Master's degree in Computer Science or a related discipline. * 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. * 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. * 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., * 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)., Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment ## Description As a core member of our team, you will collaborate closely with our NetOps, SRE, and platform engineering teams to tackle the complexities of one of the world's largest data center networks. You will design and implement a closed-loop AIOps for NetWork platform, covering: * 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices](https://www.wearedevelopers.com/videos/1582-llmops-driven-fine-tuning-evaluation-and-inference-with-nvidia-nim-nemo-microservices) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)