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 Agent Engineer / Architect (Database Operations)
Builds
Intelligent AIOps agents, sandbox execution environments, tool schedulers, and task orchestrators for database and data pipeline management.
Domain
AIOps, Database Operations, Large Language Model (LLM) 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, Graph Learning
Preferred skills
Causal Inference, Log Intelligent Analysis, Database Autonomy, Topology-based Root Cause Localization, Algorithm Research (KDD/NeurIPS/ICML/VLDB/SIGMOD), Open Source Contributions, MCP Protocol, Agent Observability
Technologies
Python, Go, Java, LLMs, RAG, MCP, Kubernetes, Kafka, Redis, PostgreSQL, MySQL, Spark, Airflow
Responsibilities
Design and implement core modules for Agent harness, sandbox environments, and task orchestration; Develop end-to-end solutions for database troubleshooting and capacity planning using traditional algorithms and LLMs; Build evaluation systems for agent performance including offline regression and online A/B testing; Collaborate with SRE and DBA teams to scale agent applications for duty shifts and active inspections.