智能数据运维Agent研发工程师/架构师-数据库
Core
Design and implement intelligent operations agents for database maintenance, data pipeline troubleshooting, capacity planning, and on-duty assistance.
Role type
Senior IC AI Agent Engineer/Architect (AIOps)
Builds
Intelligent operations agents, sandbox execution environments, tool schedulers, and task orchestrators for database and data platform scenarios.
Domain
AIOps, Database Operations, Large Language Model Engineering
Deliverable
production ML models
Required skills
Python/Go/Java, Distributed Systems, Microservices, Message Queues, Containerization, LLM Application Engineering, Agent Loop, Tool Use, Function Call, RAG, Prompt Engineering, Time Series Anomaly Detection, Root Cause Analysis, Topology-based Diagnosis, Alert Noise Reduction, Capacity Forecasting, Log Pattern Mining
Preferred skills
Causal Inference, Graph Learning, Database Autonomy, Large-scale AIOps System Design, Top-tier Conference Publications (KDD/NeurIPS/ICML/VLDB/SIGMOD), AI Copilot Product Experience, Sandbox/Code Execution Environments, MCP Protocol, Agent Observability
Responsibilities
Design and implement core modules for Agent harness and task orchestration; deliver end-to-end solutions from capability design to gray release for database and data pipeline scenarios; develop and deploy hybrid algorithms combining traditional methods, large models, and domain knowledge; build evaluation and iteration systems for agent performance; collaborate with SRE and DBA teams to scale agent applications.
Seniority
Senior, hands-on IC