智能数据运维Agent研发工程师/架构师-数据库
Core
Design and implement intelligent AIOps agents for database operations, fault diagnosis, capacity planning, and automated self-healing.
Role type
Senior IC AI/ML Engineer (AIOps Agent Architecture)
Builds
Intelligent Agent systems for database maintenance, data pipeline troubleshooting, and proactive monitoring.
Domain
AIOps, Database Operations, Large Language Model Engineering
Deliverable
production ML models
Required skills
Python/Go/Java, Distributed Systems, Microservices, LLM Application Engineering, Agent Loop, Tool Use, Function Calling, RAG, Prompt Engineering, Time Series Anomaly Detection, Root Cause Analysis, Graph Learning
Preferred skills
Causal Inference, Database Autonomy, Top-K Conference Publications (KDD/NeurIPS/ICML), Open Source Contributions, Sandbox/Code Execution Environments
Responsibilities
Design and implement core modules for Agent harness, sandbox execution, tool scheduling, and task orchestration; Develop end-to-end delivery for agent capabilities including prompt engineering and model optimization; Architect 'traditional algorithms + LLM + domain knowledge' solutions for alert noise reduction and capacity prediction; Build evaluation systems for agent performance and drive scaled adoption with SRE and DBA teams.