LLM AIOps Development Engineer - Data Center Networking Seattle Regular

ByteDance; Seattle (WA); On-site; USD 202,160 - 368,220; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) savings plan with company match

Paid parental leave

Paid holidays and sick days

Wellbeing benefits

Job summary

ByteDance in Seattle is looking for a highly skilled engineer to develop a Panoramic Network Observability Platform. The role involves creating a streaming telemetry data pipeline and applying advanced machine learning algorithms for diagnostics.

The ideal candidate should have strong coding skills in Golang or Python, alongside a solid understanding of data center networking. Benefits include medical coverage, paid parental leave, and a competitive salary range of $202,160 - $368,220 annually.

Qualifications

• Deep understanding of data center network architectures and key protocols.
• Mastery of Golang or Python with outstanding coding skills.
• Experience in Big Data Processing, Observability Technologies, and AIOps.

Responsibilities

• Develop a streaming telemetry data pipeline for real-time data integration.
• Apply machine learning for anomaly detection and diagnostics.
• Build an intelligent operations assistant using conversational AI.

Skills

Solid Fundamentals in Computer Science and Networking

Excellent Software Engineering Skills

Rich Platform Development Experience

Tools

Golang

Python

Docker

Kubernetes

Kafka

Prometheus

Job description

Location: Seattle

Team: Technology

Employment Type: Regular

Job Code: A232132

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 pinpointing root causes of failures across the entire stack.
• 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, empowering 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, guaranteeing the stability and performance of the entire pipeline from data collection and model training to online inference and automated closed-loop actions.

Qualifications

• Minimum Qualifications:
  • Solid Fundamentals in Computer Science and Networking: Deep understanding of data center network architectures (e.g., Spine-Leaf Fabric), proficiency in key protocols such as EVPN/VXLAN and BGP/OSPF, and in-depth knowledge of the Linux network stack.
  • 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 (Kafka, Flink, ClickHouse/TSDB), Observability Technologies (Prometheus/OpenTelemetry, graph databases such as Neo4j), and AIOps/ML/LLM Practices with hands‑on experience in RAG, tool use, and safety evaluation.
• Preferred Qualifications:
  • 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, or DPDK/eBPF.
  • Experience building network configuration and control systems based on SONiC, gNMI, or Netconf.

Job Information

The base salary range for this position in the selected city is $202,160 - $368,220 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work; this role may be eligible for additional discretionary bonuses/incentives and restricted stock units.

Benefits

Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year, and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Equal Employment Opportunity (EEO) Statement

For Los Angeles County (unincorporated) Candidates:

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:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;

3. Exercising sound judgment.

Reasonable Accommodation

ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request.