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Cloud Native Observability Management Platform Engineer - Data Infrastructure
- Build automated testing frameworks - Deliver and optimize operations products - Develop cloud native intelligent management platform - Drive quality engineering for observability services - Manage cluster lifecycle
LLM/AI Ops Development Engineer Graduate (Data Center Networking) - 2027 Start
Develops LLM-powered operations assistant for data center networking, focusing on RAG-based telemetry pipelines, anomaly detection, and automated remediation to improve network observability and capacity forecasting.
Software Development Engineer-AI/LLM Network-Global Frontier Tech Research Program-2027 Start
Develops and optimizes AI/ML network infrastructure, focusing on scalability, reliability, and performance for large-scale AI applications, including high-speed network technologies and communication frameworks.
Software Development Engineer-AI/LLM Network-Global Frontier Tech Research Program-2027 Start (PhD)
Develops high-speed AI-native network infrastructure and protocols for LLM training and inference, optimizing host-network-application co-design.
LLM AIOps Development Engineer - Data Center Networking
Develops LLM-powered AIOps tools for data center networking, focusing on RAG-based network observability, anomaly detection, and automated diagnostics to improve network reliability and efficiency.
Backend Engineer, Applied Machine Learning Engine (Efficiency Tool)
Builds and optimizes AI engineering tools to streamline workflows, focusing on scalable ML services, automation, and performance tuning for Bytedance’s internal AI platforms.