AIOps Platform Engineer: LLM & Observability

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

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.